You will apply the statistical concepts and techniques covered in this week's reading about multiple regression. Specifically, you will look at Step 5 of the Python script to answer all questions.

1. Is at least one of the two variables (weight and horsepower) significant in the model? Run the overall F-test and provide your interpretation at 5% level of significance. See Step 5 in the Python script. Include the following in your analysis:
   1. Define the null and alternative hypothesis in mathematical terms and in words.
   2. Report the level of significance.
   3. Include the test statistic and the P-value. (Hint: F-Statistic and Prob (F-Statistic) in the output).
   4. Provide your conclusion and interpretation of the test. Should the null hypothesis be rejected? Why or why not?
2. What is the slope coefficient for the weight variable? Is this coefficient significant at 5% level of significance (alpha=0.05)? (Hint: Check the P-value,, for weight in Python output. Recall that this is the individual t-test for the beta parameter.) See Step 5 in the Python script.
3. What is the slope coefficient for the horsepower variable? Is this coefficient significant at 5% level of significance (alpha=0.05)? (Hint: Check the P-value,, for horsepower in Python output. Recall that this is the individual t-test for the beta parameter.) See Step 5 in the Python script.
4. What is the purpose of performing individual t-tests after carrying out the overall F-test? What are the differences in the interpretation of the two tests?
5. What is the coefficient of determination of your multiple regression model from Module Six? Provide appropriate interpretation of this statistic.

This is my data:

Step1.

Cars data frame (showing only the first five observations)

	Unnamed: 0	mpg	cyl	disp	hp	drat	wt	qsec	vs	am	gear	carb
22	AMC Javelin	15.2	8	304.0	150	3.15	3.435	17.30	0	0	3	2
21	Dodge Challenger	15.5	8	318.0	150	2.76	3.520	16.87	0	0	3	2
20	Toyota Corona	21.5	4	120.1	97	3.70	2.465	20.01	1	0	3	1
18	Honda Civic	30.4	4	75.7	52	4.93	1.615	18.52	1	1	4	2
25	Fiat X1-9	27.3	4	79.0	66	4.08	1.935	18.90	1	1	4	1

Step 2.