Please help me with following question set: I attached a png fail

Multiple Regression in Finance (24 points) You are given the following regression output to predict the house price in Boston from house characteristics. The standard errors are given in parentheses. House price in Boston Distance to Boston employment centres -1.280 (0.237) Nitric oxides concentration -44.774 (4.273) Pupil-teacher ratio by town -1.994 (0.150) Constant 89.025 (4.236) Question 1 (6 points) Briefly discuss how all the variables (except the constant) economically affect the house price. Question 2 (6 points) Compute the t-statistic for the distance to Boston employment centres. Is the coefficient statistically significant at a 95% confidence level? Question 3 (6 points) Briefly explain what the problem of multicollinearity is in a linear regression. How would you investigate the presence of multicollinearity among your regressors