A) Below are the results of the descriptive statistical analysis. The data set included in this study can be observed in the following variables: Consumer Price Index (CPI), Gross Domestic Product (GNP), Money Supply, Investment, and Interest Rate. results are as follows; Table2 Table 2: Mean, STD, CV, Skewness and Kurtosis for the variables Variable mean std Dev. CV Skewness Kurtosis Investment 18.68 4.456 23.85% -0.1695943 2.422289 Money supply 15.82 3.221 20.36% 0.2130302 1.84657 GNP 187.4 39.74 21.21% 0.739252 2.510553 Interest -14.72 66.44 -4.51 -1.575793 4.95526Briefly explain five results obtained in variables of the analysis presented in Table 2. (5 Marks) QUESTION THREE Below are results for regression analysis for investment using a regression model. Whereby married is the function of Age, Education, and household size. Table 3 The Effect of Age, Education, and Household Size on Marriage (Married or Not). Log likelihood = -1288.7957 Pseudo R2 = 0.0316 Married | Coef. Std. Err. P> /21 [95% Conf. Interval] age | .0013396 .0021841 0.61 0.540 -.0029412 .0056204 educ | .0376125 .0127799 2.94 0.003 .0125644 .0626606 hhsize | .0891713 0108345 8.23 0.000 .0679361 .1104064 _cons | -.3906472 .1513555 -2.58 0.010 -.6872984 -.0939959 i) Briefly discuss results obtained in variable analysed and presented in Table 3. 3 Marks ii) Write down or summarize the equation of the model used to estimate results in Table 3. (1Mark) iii) Present the results of Table 3 and interpret them accordingly (6 Marks) iv) Comment based on R square about how much % of investment is explained by interest rate and how much remaining % are explained by something else. (2 Marks) QUESTION FOUR Below are the results of the descriptive statistical analysis. The data set included in this study can be observed in the following variables: Investment, and Interest Rate. Table 4 The effect of interest rate on investment Source SS df MS Number of obs 31 F (1, 29) 18 . 59 Model 5921 . 0303 1 5921 . 0303 Prob > F 0 . 0002 Residual 9234 . 51809 29 318 . 431658 R-squared 0. 3907 Adj R-squared 0. 3697 Total 15155 . 5484 30 505 . 184946 Root MS 17. 845 invest Coef. Std. Err. P>Itl [958 Conf. Interval] intest -8. 669929 2. 010597 -4. 31 0. 000 -12 . 78206 1. 557797 cons 91 . 03598 9. 476402 9. 61 0. 000 71 . 65456 110 . 4174 i) Write the equation of the model used to estimate results in Table 4. (1 Mark) ii) Present the results in Table 4 and interpret its results (4 Marks)