CINSFG5121289189a. Create a scatterplot with time on the X-axis and runs on the Y-axis. Copy + paste your graph below.
b. Describe the scatterplot that you made in part (a) in terms of direction, shape, strength, and outliers.
c. Use the five-step hypothesis testing procedure outlined below to determine if there is a statistically significant relationship between time and runs. (Use Pearson’s r and Minitab Express). Show all relevant output and clearly identify your answers for credit!
d. Use the five-step hypothesis testing procedure outlined below to determine if time is a statistically significant predictor of runs. In other words, test for the significance of the slope in the simple linear regression model. Use Minitab Express and include all relevant output for credit. Remember to check all the assumptions and clearly identify your answers from the output!
e. Use the five-step hypothesis testing procedure outlined below to determine if runs is a statistically significant predictor of time. All assumptions have been met. Include all relevant output below for credit.
f. How was the regression model impacted when the X and Y variables were switched? Compare the slope, y-intercept, p-values, and r-squared values for the models you tested in parts d and e.