clearly show answer please

1. You are given the following results from a regression model. Calculate the sum of squared errors (SSE). (A) -35 (B) -5 (C) 5 (D) 35 (E) 46 2. For a simple linear regression model the sum of squares of the residuals is t=125ei2=230 and the R2 statistic is 0.64 . Calculate the total sum of squares (TSS) for this model. (A) 605.94 (B) 638.89 (C) 690.77 3. Joseph is modeling monthly incurred insurance claims. Joseph has 48 monthly claims observations and three potential predictors: - Number of weekdays in the month - Number of weekend days in the month - Average number of insured members during the month Joseph obtained the following results from a linear regression: Determine which of the following variables should be dropped, using a 5% significance level. I. Intercept II. Number of weekdays III. Number of weekend days IV. Number of members. (A) I only (B) II only (C) III only (D) IV only (E) None should be dropped from the model