Question 1204047
linear regression calculator at <a href = "https://stats.blue/Stats_Suite/correlation_regression_calculator.html" target = "_blank">https://stats.blue/Stats_Suite/correlation_regression_calculator.html</a> was used.


inputs and results are shown below:


<img src = "http://theo.x10hosting.com/2023/100811.jpg">


<img src = "http://theo.x10hosting.com/2023/100812.jpg">


answers to your questions are shown below:


3.1 Draw a scatter diagram to represent the two variables.


see above.


3.2 Calculate the Pearson’s correlation coefficient.


correlation correlation coefficient is r = -.8197.


3.3 Comment on the strength of the relationship between the two variables.


strength of the relationship is good.


3.4 Determine the linear regression equation.


y = -.2018 * x + 11.8029


-.2018 is the slope.
11.8029 is the y-intercept.
slope is the change in the value of y divided by the corresponding change in x.
y-intercept is the value of y when the value of x is 0.


3.5 Estimate the moisture content of chips that were fried for 25 seconds.


moisture content for chips that were fried for 25 seconds is equal to 6.1525.


here's a reference on r and r^2 value in a linear regression.


<a href = "https://www.youtube.com/watch?v=Q-TtIPF0fCU" target = "_blank">https://www.youtube.com/watch?v=Q-TtIPF0fCU</a>


video is fairly short so it shouldn't take up too much of your time (about 6 minutes).