Need help answering A, B and C. B) Perform the linear regression calculation and provide the linear regression equation that describes the relationship between Y (number of air conditioning units sold) and X (outside temperature in degrees Fahrenheit. Calculate: Coefficient of determination (r2) and the coefficient of correlation (r). SST, SSE and SSR for this linear regression. Estimate for the variance (σ2) and the standard deviation for the linear regression model you have developed.
Need help answering A, B and C.
B) Perform the linear regression calculation and provide the linear regression equation that describes the
relationship between Y (number of air conditioning units sold) and X (outside temperature in degrees Fahrenheit. Calculate:
Coefficient of determination (r2) and the coefficient of
SST, SSE and SSR for this linear regression.
Estimate for the variance (σ2) and the standard deviation for the linear regression model you have developed.
C) Using the linear regression equation that you developed in topic (b), calculate the estimated sales for a day that
will reach 72 degrees F and for a day that will reach 94 F and for both temperature levels calculate the error “e” when
comparing the estimated value against the actual data provided. At which of the two temperatures, is your model more
accurate? Justify.
Step by step
Solved in 3 steps with 2 images
