Please assist with step by step explanation

Consider the following regression model Yi = Bo + BIXli + B2Xzi + B3X3i + B4Xsi + Wi This model has been estimated by OLS. The Gretl output is below. Model 1: OLS, using observations 1-50 Dependent variable: Y Coefficient Std. Error t-ratio p-value const 1.71641 0.694808 2.470 0.0174 X1 -1.52396 0.173155 -8.801 0.0000 X2 -0.196381 0.144193 -1.362 0.1800 X3 -0.441893 0.348977 -1.266 0.2119 0.0769378 0.133780 0.5751 0.5681 Mean dependent var -2.388760 S.D. dependent var 1.111296 Sum squared resid 21.42957 S.E. of regression 0.690082 R2 0.645874 Adjusted R2 0.614396 F(4, 45) 20.51832 P-value(F) 1.12e-09 Log-likelihood 49.76565 Akaike criterion 109.5313 Schwarz criterion 119.0914 Hannan Quinn 113.1718 Use an F-test with the critical value method and a significance level of 5% to test Ho : 34 = 32 against H1 : BA * B2. (a) (4 marks) Derive the restricted regression. (b) (4 marks) The restricted model has been estimated and its residual sum of squares is SSR = 22.454. Compute the value of the F-statistic. (c) (2 marks) Do you reject the null hypothesis