Using the following data, estimate the intercept and slope c…
Using the following data, estimate the intercept and slope coefficients for a linear regression model. Running the provided code below will create the data frame “mydata” with x and y columns. x y 4.6 1055 4.8 1832 5.2 1628 5.4 1853 5.6 1782 5.8 2647 6.0 2132
Read DetailsUsing the estimated regression model computed from the follo…
Using the estimated regression model computed from the following data, estimate the mean response when x = 5. Running the provided code below will create the data frame “mydata” with x and y columns. x y 4.6 1055 4.8 1832 5.2 1628 5.4 1853 5.6 1782 5.8 2647 6.0 2132
Read DetailsA random sample of 79 companies from the Forbes 500 list was…
A random sample of 79 companies from the Forbes 500 list was selected and the relationship between sales (in hundreds of thousands of dollars) and profits (in hundreds of thousands of dollars was investigated using a simple linear regression model treating the profits as the response variable. The following results were obtained from statistical software: Variable Estimate Std. Error (Intercept) -176.644 61.16 Sales 0.0925 0.0075 A 90% confidence interval for the slope is (approximately):
Read Details