Tutors Answer Your Questions about Scatterplots-graphs (FREE)
Question 1202112: A contractor recorded the amount of money earned for different jobs and the amount of time spent on each job. The data are shown in the scatterplot below. Based on the data, interpolate the amount of money the carpenter would earn from a job that took 5 days to complete.
Click here to see answer by ikleyn(52776)   |
Question 1196570: Because it is not practical to weigh bears in the field, researchers sought to develop a model to predict a bear's weight based on its length. Here are the results for a sample (this is the exact same data as the previous question):
Total Length (cm) Weight (kg)
139.0 110
138.0 60
139.0 90
120.5 60
149.0 85
141.0 100
141.0 95
150.0 85
166.0 155
151.5 140
129.5 105
150.0 110
The explanatory variable is .
If the bear length was instead measured in inches (there are 2.54 cm in one inch) and the weight was measured in pounds (there are 2.2 pounds in one kg), then the linear correlation coefficient would .
Click here to see answer by math_tutor2020(3816) |
Question 1196570: Because it is not practical to weigh bears in the field, researchers sought to develop a model to predict a bear's weight based on its length. Here are the results for a sample (this is the exact same data as the previous question):
Total Length (cm) Weight (kg)
139.0 110
138.0 60
139.0 90
120.5 60
149.0 85
141.0 100
141.0 95
150.0 85
166.0 155
151.5 140
129.5 105
150.0 110
The explanatory variable is .
If the bear length was instead measured in inches (there are 2.54 cm in one inch) and the weight was measured in pounds (there are 2.2 pounds in one kg), then the linear correlation coefficient would .
Click here to see answer by ewatrrr(24785)  |
Question 1196569: A researcher is analyzing the relationship between club-head speed of a golf club (measured in miles per hour, mph) and the distance (in yards) that the ball will travel. The researcher records these values for five shots made by the same golfer, with the same club on a single day with no wind. Note: values in red may change on subsequent attempts.
Club-head speed (mph) 105.2 102.2 104.1 101.6 105.5
Distance (yards) 251.3 264.1 274.2 266.5 277.9
Calculate the linear correlation coefficient. Round your answer to three digits after the decimal.
Click here to see answer by ewatrrr(24785) |
Question 1191870: Your class is given a real-world scenario of a linear function in which the rate of change is - 3 and the initial value is - 10. You wrote the equation y=−3x+(−10) to represent the function. Your classmate wrote y=−3x−10 . Who is correct? Justify your response.
Click here to see answer by josgarithmetic(39616) |
Question 1191870: Your class is given a real-world scenario of a linear function in which the rate of change is - 3 and the initial value is - 10. You wrote the equation y=−3x+(−10) to represent the function. Your classmate wrote y=−3x−10 . Who is correct? Justify your response.
Click here to see answer by Theo(13342)  |
Question 1183616: In one experiment, a number of cars with different characteristics are run on a test track at a speed of between 70 and 80 kilometers per hour. A number of properties are measured and the average consumption of fuel is registered.
The variables included in the analysis are
- The car's average consumption in liters / mile
- Weight of the car in kilograms (Weight)
- The car's average speed during the test in km / h (Average speed)
- Whether the car was front-wheel drive, rear-wheel drive or four-wheel drive (Front-wheel drive, Rear-wheel drive, Four-wheel drive)
The information is then entered into Excel and a regression analysis is performed, with the following results:
Coffecients:
Constant: 0,3067
Weight: 0,0001
Average speed:0,0023 with t: 1,1494
Rear wheel drive:0,0151
Four-wheel drive:0,0586
ANOVA
F: 10,4011
p -vaule for F: 4,77726E-08 = 0,0000000477726
a)Interpret the equation and it's components in words
b) Interpret the completed F-test. Also set out the current hypotheses and describe what they mean.
c) Interpret the average t-test performed for Average Speed. Also set out the current hypotheses and describe what they mean.
Click here to see answer by ikleyn(52776) |
Question 1183699: In a survey of energy consumption per month among residential villas, the connection between was examined
- the actual consumption measured as kilowatt hours per month (kWh / month)
- the outdoor temperature in the current month
- what year the villa was built
- how many people lived in the house
- if the house was additionally insulated in the ceiling ("half" additional insulation), in the roof and walls ("full" additional insulation) or not at all
Coefficients
Constant: 485,59
outdoor temperature: 2,478
Year of construction: 0,0406
Number of people in the household: -3,267
Additional insulation half: -108,435
Additional insulation half:-341,380
1. What is the estimated regression equation? Write down and explain.
2. Interpret the coefficients with words.
Click here to see answer by ikleyn(52776) |
Question 1183598: Regression analysis
A researcher wants to investigate the relationship between schooling (years of education) and wages (1000 USD). The aim is to find out the “return to education”. To be able to investigate this, the researcher collects data among workers and decides to conduct a regression analysis. Additional independent variables are years of working experience (“Experience”), years of working experience-squared (“Experience-sq”), and a dummy variable for the race (if the worker is “Hispanic” then the dummy takes value 1 otherwise 0). She obtains the following regression results.
Coefficients
Constant:-0,532
Schooling: 0,057
Race dummy: -0,032
Experience: 0,066
Experience-squared: -0,002
1. What is the estimated regression equation? Write down and explain.
2. Interpret the coefficients with words.
Thank you very much for your time i really appreciate it!
Click here to see answer by robertb(5830)  |
Question 1178134: Developing high quality software depends on meeting professional software standards and criteria. A company called DACCI has discovered that a former employee has been using highly valuable software that was developed by other employees of DACCI. Discuss what legal and/or ethical issues are relevant in the above scenario.
Click here to see answer by ikleyn(52776) |
Question 1178134: Developing high quality software depends on meeting professional software standards and criteria. A company called DACCI has discovered that a former employee has been using highly valuable software that was developed by other employees of DACCI. Discuss what legal and/or ethical issues are relevant in the above scenario.
Click here to see answer by math_helper(2461)  |
Question 1157038: Assume that the weight loss for the first month of a diet program varies between 6 pounds and 12 pounds, and is spread evenly over the range of possibilities, so that there is a uniform distribution. Find the probability that the given range of pounds lost is between 8 pounds and 11 pounds.
Click here to see answer by ikleyn(52776) |
Question 1149855: I need help on a two part problem. The table shows the number y of pineapple plants in a garden x years since 2004. The table´s ordered pairs are (2,4) (3,7) (4,9) (7,15) (8,16) (9,19). Part one says Write an equation that models the approximate number of pineapple plants as a function of the number of years since 2004. Part two says Interpret the slope and y-intercept of the line of fit.
Click here to see answer by Theo(13342) |
Question 1127750: In need of assistance please, as I am completely lost.
I was hoping to receive help understanding the following question:
A regression was run to determine whether there is a relationship between hours of TV watched per day(x)and number of sit-ups a person can do (y). The results of the regression are given below. Use this to predict the number of sit-ups a person who watches 11 hours of TV can do.
y=ax+b
a=−1.341
b=32.234
r=−0.896
What is really throwing me off is where "r" comes into play.
I am not simply seeking an answer, instead I am asking for your knowledge on how to understand this type of equation, and how to solve something such as this.
Thank you for your time!
Click here to see answer by MathTherapy(10551)  |
Question 1127750: In need of assistance please, as I am completely lost.
I was hoping to receive help understanding the following question:
A regression was run to determine whether there is a relationship between hours of TV watched per day(x)and number of sit-ups a person can do (y). The results of the regression are given below. Use this to predict the number of sit-ups a person who watches 11 hours of TV can do.
y=ax+b
a=−1.341
b=32.234
r=−0.896
What is really throwing me off is where "r" comes into play.
I am not simply seeking an answer, instead I am asking for your knowledge on how to understand this type of equation, and how to solve something such as this.
Thank you for your time!
Click here to see answer by MathLover1(20849)  |
Question 1104406: Each week as part of her workout, Monica walks 0.5 mile, runs 1.6 miles, and then walks 0.75 mile.
How many total miles will Monica walk and run in a year? Reminder: there are 52 weeks in a year.
Enter your answer in the box.
Click here to see answer by math_helper(2461) |
Question 1104771: In a study, nine tires of a particular brand were driven on a track under identical conditions. Each tire was driven a particular controlled distance (measured in thousands of miles) and the tread depth was measured after the drive. Tread depth is measured in mils. Here, 1 mil is 0.001 inch. The least-squares regression line was computed and added to a scatterplot of these data. On the plot, one data point is marked with an X. The equation of the least-squares regression line is:
Tread depth = 360.64 11.39x (thousands of miles)
Also, r2 = 0.953. We might feel comfortable using the least-squares regression equation to predict tread depth for a tire driven:
Click here to see answer by Theo(13342) |
Question 1099202: The median price of an existing home was $160,000 in 2000 and $240,000 in 2007. If x represents the number of years since 2000, use these data points to determine a line of best fit for the trends in the price of existing homes. Write the equation in slope-intercept form.
Click here to see answer by josmiceli(19441)  |
Question 1092803: Explain why the parabola shown in the figure below is not a good fit for the data.
Figure: http://www.intervisualtechnology.us/data/1/13720/2_6_image_apply.png
My answer was
"The parabola shown in the figure is not a good fit for the data because the y-values of the coordinates dont align with the y-value of the parabola. To determine which function fits the data, we compare the y-values given by the data with the y-value of the function. The function with the closest y-values to the data is the best bit. With this figure, the parabola doesnt seem to be the best fit for the data."
My teacher gave me an F for this. I'm not sure how else to explain it without the coordinates being provided. I would really appreciate help on this!!
Click here to see answer by Boreal(15235)  |
Question 1055989: The regression equation below relates the scores student in an advanced statistics course received for homework completed and the subsequent midterm exam. Homework scores are based on assignments that proceeded the exam. The maximum homework score a student could obtain was 500 and the maximum midterm score was 350. The regression line that was obtained is given by:
Y= -94.4 + .91x
If a student had a homework score of 420, the midterm score would be predicted to be (round to an integer:
A) 298
B) 378
C) 336
D) None of the answer choices is correct
Click here to see answer by Boreal(15235) |
Question 1046772: Need ASAP Please <3
1. Referring to the figure, find the slope of the line shown.
http://www.ppstest2.com/images2/AL4003.jpg
2. Referring to the figure, find the slope of the line shown.
http://www.ppstest2.com/images2/AL4004.jpg
Click here to see answer by Fombitz(32388)  |
Question 1041925: Below is a graph for a dirt bike salesman after test riding several bikes. Extrapolate the distance that might be traveled after traveling for 60 minutes.
--------------------------------------------------------------------------------
5 miles
10 miles
6 2/3miles
40 miles
Click here to see answer by ikleyn(52776) |
Question 1040374: 9. (14 pts) Life expectancy at birth is the estimated lifespan of a baby born in a particular year (given the conditions of that time period). Based on data retrieved from http://www.indexmundi.com/facts/united-states/life-expectancy-at-birth the following chart of U.S. life expectancy for males has been prepared.
img src= http://d2vlcm61l7u1fs.cloudfront.net/media%2F73f%2F73fe8e89-e840-4194-85c2-0c891fa17698%2FphpJRNuLz.png
The regression line is y = 0.2052x 336.5, where x = birth year and y = U.S. life male expectancy, in years. The value of r2 is 0.9809.
(a) Use the regression line to estimate the U.S. life expectancy of a male baby born in 1970, to the nearest tenth of a year. Show some work.
(b) Use the regression line to predict the U.S. life expectancy of a male baby born in 2020, to the nearest tenth of a year. Show some work.
(c) What is the slope of the regression line and what are the units of measurement? In a sentence, interpret what the slope is telling us, in the context of this real-world application.
(d) What is the value of the correlation coefficient, r? Also, interpret its value: Looking at the graph and the size of r, do you judge the strength of the linear relationship to be very strong, moderately strong, somewhat weak, or very weak?
Click here to see answer by Boreal(15235) |
Question 1020318: A new water park has just opened in your city and you want to make sure you get as many water rides as possible for your money. The park has two cost plans for visitors. Each plan includes a fee for admission and an additional charge for each ride. You will get to decide which plan works best for you.
Plan A: Price of admission, $10, price per ride: $1.25
Plan B: Price of admission, $7, price per ride: $2.00
Complete the table for each plan to generate ordered pairs and create a graph to represent your results. Be sure to add numbers to the x and y axis before plotting your points. Highlight each plan a different color. Review your results and create an argument for which plan you feel is the better buy.
Just need some help laying out the graph. Thanks!
Click here to see answer by stanbon(75887) |
Question 1005651: The function y = 3.50x + 2 represents the total amount of money, y,
saved over x weeks.
What is true about the function?
A It is linear because it is always increasing.
B It is linear because it increases at a constant rate.
C It is nonlinear because it is always increasing.
D It is nonlinear because it increases at a constant rate.
Click here to see answer by Theo(13342) |
Question 1005580: While conducting a study in his city, Braun noticed that as the price
of fuel oil increased, the price of gas increased. Braun also noted
that as the fuel oil price increased the number of cars on the streets
decreased. Select all of the conclusions Braun could draw from his
study.
A. An increase in fuel oil price causes a decrease in the number of cars
on the street.
B. A decrease in the number of cars on the street causes an increase in
gas price.
C. A decrease in the number of cars on the street causes an increase in
the fuel oil price.
D. An increase in fuel oil price causes an increase in the price of gas.
E. An increase in gas price causes a decrease in the number of cars on
the street.
Click here to see answer by stanbon(75887) |
Question 979359: ~~~~~~1. The graph shows how 10,000 is invested. After 10% of the amount that is invested in bonds is reinvested in CD's , how much money is invested in CD's?
Investment Portfolio
Bonds -- 50%
Stocks -- 25%
Mutual Funds -- 15%
CD --10%
My answer for the first one was 15%.
Click here to see answer by solver91311(24713)  |
Question 935309: _____when using midterm exam scores to predict a student's final grade in a class, the student would prefer to have a
A) positive residual, because that means the student's final grade is lower than we would predict with the model
B) positive residual, because that means the student's final grade is higher than we would predict with the model
C) residual equal to zero, because that means the student's final grade is exactly what we would predict with the model
D) negative residual, because that means the student's final grade is higher than we would predict with the model
E) negative residual, because that means the student's final grade is lower than we would predict with the model
*Could you please tell me step by step how to get the answer to the problem? Thank You so much for helping me !! :)
Click here to see answer by stanbon(75887) |
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