Formally test the global appropriateness of predictors in your multiple linear regression model.

Use a textbox within the output file to state the null and alternative hypotheses of the global test.

Use a textbox within the output file to state the results and conclusions of the global test based on the p-value.

Choose a subset of your predictors to use in a nested test. (NOTE: You will need to choose two or more predictors but not all of your predictors to test.)

Use a textbox within the output file to state the null and alternative hypotheses of the nested test.

Use a textbox within the output file to state the results and conclusions of the nested test based on the p-value.

Carry out an individual test of appropriateness for each of the predictors in your model. (NOTE: If you have 3 predictors in your model, you will have three individual tests. If you have 4 predictors in your model, you will have four individual tests.)

Use a textbox within the output file to state the null and alternative hypotheses for each of the individual tests.

Use a textbox within the output file to state the results and conclusions for each of the individual tests based on the p-value.