Using data on two variables: miles per gallon or mpg and horsepower for a number of automobiles, the following regression equation was obtained: mpg = 39.94 - 0.16 Horsepower The squared correlation was also found to be 64%. What is the value of the sample correlation coefficient between the mpg and Horsepower. 0.64 -0.64 -0.80 0.80
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We are given the squared correlation (coefficient of determination) as 64%, which is 0.64. Show more…
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What are the coefficients of correlation between miles per gallon and horsepower? Between miles per gallon and the weight of the car? What are the directions and strengths of these coefficients? Do the coefficients of correlation indicate a strong correlation, weak correlation, or no correlation between these variables? See Step 4 in the Python script. # create correlation matrix for mpg, wt, and hp. # The correlation coefficient between mpg and wt is contained in the cell for the mpg row and wt column (or wt row and mpg column). # The correlation coefficient between mpg and hp is contained in the cell for the mpg row and hp column (or hp row and mpg column). mpg_wt_corr = cars_df[['mpg', 'wt', 'hp']].corr() print(mpg_wt_corr) mpg wt hp mpg 1.000000 -0.861343 -0.771313 wt -0.861343 1.000000 0.645234 hp -0.771313 0.645234 1.000000
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