do you believe that the regression line is an appropriate descriptor of the rela

Question

do you believe that the regression line is an appropriate descriptor of the relationship between precipitation and percent testing positive? justify your answer, including reference to both given graphs.

Chapter 1: Looking at Data -Distributions Use the following for #9-13. A regression analysis to determine if there is a relationship between Metabolic Rate and Body Mass is shown below. Metabolic rate (y) vs. Body mass (x) 2100 1600 1100. 600 Mass Line Fit Plot 2100 1600 1100 600 30.0 40.050.060.070.0 Mass 30.0 40.0 50.0 60.0 70.0 SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations 0.864736082 0.747768492 0.732931345 133.0747472 19 Standard Error Coefficients t Stat P-value Intercept 113.1654071 179.5866068 0.630143913 0.536979315 265.7292134 492.06002727 Mass 26.87856915 3.786149619 7.099183038 1.78368E-06 18.89049171 34.8666466

Explanation / Answer

Yes obvioulsy therre is a relationship between the Rate and Mass.

We can see that the R square measure is 0.747 saying about 74% of the data is well fit and from the scatter plot we do see an increasing trend and the same is represented in the summary statistics with a slope of 26.87 and an intercept of 113.16.The t stats are also significant saying the regression equaiton is proper.

If we have multiple regression equations,you need to choose that one with maximum R square measure and least standard error measure.

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