all of these questions go together and are under one question. please help

The following information summarizes the linear relationship between size (in square feet) and assessed value of homes in Ithaca, NY, based on a random sample of n = 18 homes. All homes sampled had areas between 1000 and 3500 square feet. You may take for granted that all requisite assumptions for this dataset are satisfied. Simple linear regression results: Price = 37131 + 11.89 Size Sample size: 18 R = ??? R2 = 0.3249 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept ??? ? ? ? ? ? ? ? ? Slope ?? ? 4.285 ?? ??? ?? ? Calculate the test statistic necessary to test whether or not there is a statistically significant linear relationship between home size and price, accurate to two digits past the decimal point. Answer : This test statistic can be used to test which of the following hypotheses ? Select one : a. Ho : B1 = 0 vs. HA : B1 # 0 O b. Ho : M = O vs. HA : H # 0 O c. Ho : p = 0.5 vs. HA : p # 0.5 O d. Ho : Bo = 0 vs. HA : Bo # 0 O e. Ho : B1 = 11.89 vs. HA : B1 # 11.89 If the null hypothesis is true, this test statistic is sampled from a null distribution of: Select one: a. A Z distribution. b. A T distribution with 17 degrees of freedom. c. A normal distribution. d. A T distribution with 16 degrees of freedom. O e. A T distribution with 18 degrees of freedom. The P-value for this hypothesis test is: Select one a. Below 0.01 b. Between 0.01 and 0.02 c. Between 0.05 and 0.1 d. Above 0.1