please answer question 10.39 ( attached you will also find the previous question data that is needed to solve this problem)

here is the data for the previous question referred ti:

here is table 10.2

Please make sure to describe the steps in minitab in details.

Thank you so much for your help

10.39 More on public university tuition. Refer to the previous exercise. We'll now move forward with inference using the model fit you chose in part (f) of the previous exercise. M. TUIT (a) Give the null and alternative hypotheses for examining if there is a linear relationship between 2008 and 2014 tuition amounts. (b) Write down the test statistic and P-value for the hypotheses stated in part (a). State your conclusions. (c) Construct a 95% confidence interval for the slope. What does this interval tell you about the annual percent increase in tuition between 2008 and 2014? (d) What percent of the variability in 2014 tuition is explained by a linear regression model using the 2008 tuition? (e) Explain why inference on Bo is not of interest for this problem. 10.38 Public university tuition: 2008 versus 2014. Table 10.2 shows the in-state undergraduate tuition in 2008 and 2014 for 33 public universities. 17 in TUIT (a) Plot the data with the 2008 tuition on the x axis and describe the relationship. Are there any outliers or unusual values? Does a linear relationship between the tuition in 2008 and 2014 seem reasonable? (b) Run the simple linear regression and give the least-squares regression line. (c) Obtain the residuals and plot them versus the 2008 tuition amount. Is there anything unusual in the plot? (d) Do the residuals appear to be approximately Normal? Explain. (e) The five California schools appear to follow the same linear trend as the other schools but have higher-than- predicted in-state tuition in 2014. Assume that this jump is particular to this state (financial troubles?) and remove these five cases and refit the model. How do the parameter estimates change? (f) If you were to move forward with inference, which of these two model fits would you use? Write a short paragraph explaining your answer. 10.39 More on public university tuition. Refer to the previous exercise. We'll now move forward with inference using the model fit you chose in part (f) of the previous exercise. M. TUIT (a) Give the null and alternative hypotheses for examining if there is a linear relationship between 2008 and 2014 tuition amounts. (b) Write down the test statistic and P-value for the hypotheses stated in part (a). State your conclusions. (c) Construct a 95% confidence interval for the slope. What does this interval tell you about the annual percent increase in tuition between 2008 and 2014? (d) What percent of the variability in 2014 tuition is explained by a linear regression model using the 2008 tuition? (e) Explain why inference on Bo is not of interest for this problem. 10.38 Public university tuition: 2008 versus 2014. Table 10.2 shows the in-state undergraduate tuition in 2008 and 2014 for 33 public universities. 17 in TUIT (a) Plot the data with the 2008 tuition on the x axis and describe the relationship. Are there any outliers or unusual values? Does a linear relationship between the tuition in 2008 and 2014 seem reasonable? (b) Run the simple linear regression and give the least-squares regression line. (c) Obtain the residuals and plot them versus the 2008 tuition amount. Is there anything unusual in the plot? (d) Do the residuals appear to be approximately Normal? Explain. (e) The five California schools appear to follow the same linear trend as the other schools but have higher-than- predicted in-state tuition in 2014. Assume that this jump is particular to this state (financial troubles?) and remove these five cases and refit the model. How do the parameter estimates change? (f) If you were to move forward with inference, which of these two model fits would you use? Write a short paragraph explaining your