Regression slope test

A realtor wants to examine the relationship between house size and asking price of houses for sale in Columbus, Ohio. He collects data on the house size (measured in square feet of floor space) and asking price for $20$ randomly selected houses for sale in late summer $2015$ and calculates a least-squares regression equation to predict asking price from house size. Some of the computer output for the regression is given below. You may assume that the conditions for regression inference have been met. Term | Coef | SE Coef | T-Value | P-Value - | - | - | - | - Constant | $-21446$ | $75600$ | $-0.28$ | $0.780$ House size | $102.8$ | $37.0$ | ??? | ??? S | R-sq | R-sq (adj) - | - | - $67790.7$ | $29.98\%$ | $26.09\%$ **Which of the following is a correct expression for the $95\%$ confidence interval for the slope of the population regression line?** [[☃ radio 1]]