Please help me with this question ASAP

A study in the National Football League was conducted to develop a regression equation to estimate the Points/Game as a function of Yards/Game, Penalties, Penalty Yards, Interceptions, Fumbles, and Rushing yards. A random sample of 21 observations was recorded to conduct the regression analysis. The partial Minitab follows. Source DF SS MS F Regression 110 Error Total 1500 I. The test statistic used to determine if there is a relationship among the variables equals II. The F value obtained from the table used to test if there is a relationship among the variables at a 5% level equals III. Carry out the test to determine if there is a relationship among the variables at the 5% level. What is the appropriate conclusion for this test? a. Reject Ho: There is a significant relationship between the variables. b. Reject Ho: There is a significant relationship among the variables, and all the independent variables are significant. c. Fail to reject Ho: There is insufficient evidence to conclude a significant relationship exists among the variables. e. Fail to reject Ho: There is evidence to conclude that all independent variables are not significant. The letter corresponding to your answer is: IV. What percentage of the total variation in the dependent variable can be explained by the regression equation? V. What is the value of the adjusted R-squared