document.write( "Question 1011308: Natalie performs a chemistry experiment where she records the temperature of an ongoing reaction. The solution is 93.5 degree C after 3 min.; 90 degree C after 5 min.;84.8 degree C after 9 min.;70.2 degree C after 18 min.; 54.4 degree after 30 min.; 42.5 degree C after 37 min.; and 24.9 degree C after 48 min. Perform a linear regression on this data to complete the following\r
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document.write( "what does the value of the correlation coefficient tell you about the correlation of the data?\r
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document.write( "write the equation of the best fitting line.\r
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document.write( "on average how much does the temperature decrease every 5 min.\r
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document.write( "If Natalie's solution is expected to freeze at -7 degrees C, how many minutes into the experiment should the solution freeze?\r
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document.write( "Thank you \n" );
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Algebra.Com's Answer #627269 by KMST(5328) You can put this solution on YOUR website! What is expected as \"Perform a linear regression on this data\" depends on your course/book/teacher. \n" ); document.write( "Before calculators (yes, I am that old), \n" ); document.write( "we would do a lot of pencil and paper calculations, \n" ); document.write( "using complicated formulas. \n" ); document.write( "Maybe you are expected to use the functions in your calculator. \n" ); document.write( "Those function uses formulas you do not need to remember, \n" ); document.write( "to calculate results such as \n" ); document.write( "correlation coefficient, \n" ); document.write( "slope, and \n" ); document.write( "y-intercept \n" ); document.write( "of the linear regression best fit line. \n" ); document.write( "Since I am sitting in front of my computer, \n" ); document.write( "I would use the spreadsheet program I have installed (Microsoft Excel) \n" ); document.write( "to tabulate, graph, and calculate the needed results. \n" ); document.write( " \n" ); document.write( "My tabulation, graph and results look like this: \n" ); document.write( " \n" ); document.write( "correlation coefficient: \n" ); document.write( "slope: \n" ); document.write( "y-intercept: \n" ); document.write( "best fit line (y=mx+b): \n" ); document.write( " \n" ); document.write( "The absolute value of the correlation coefficient is very close to exactly \n" ); document.write( "and that means that the line fits the data very closely (as we see in the graph), \n" ); document.write( "meaning that the linear model is right (that the temperature varies linearly with time). \n" ); document.write( "The fact that the correlation coefficient is negative \n" ); document.write( "shows that temperature decreases with time. \n" ); document.write( " \n" ); document.write( "The slope tells us that the temperature decreases \n" ); document.write( "so on average, the temperature decreases \n" ); document.write( " \n" ); document.write( "The data allows us to predict temperature between 3 and 48 minutes, \n" ); document.write( "but we may feel somewhat confident that the relationship still holds for \n" ); document.write( "values of \n" ); document.write( "That is why I extended the best fit line in the graph to cover [0,68]. \n" ); document.write( "The line seems to cross the \n" ); document.write( "We can solve the linear best fit equation for the time when \n" ); document.write( " \n" ); document.write( "Since Natalie was measuring the time in whole minutes, \n" ); document.write( "we can report the time the solution freezes with the same precision as |