could you solve this question?

Siti. a specialist at the market research firm is anatysing household budget data collected by her rm. Siti's dependent variable is monthly household expenditures on groceries [in $5) and her independent variable is annual household income (in $1000s). Regression analysis of the data yielded the foliowing tables. Coefficients Standard Error IStatistic Pvalue Intercept 39.149 22.302 1.756 0.110 X 1.792 0.408 4.400 0.001 df 88 MS F Se = 29.514 Regression 1 16850.99 16850.99 19.344 R2 = 0.682 Residual 9 7839.915 871.1017 Total 10 24690.91 Using alpha = 0.05. Siti should O a. increase the sample size 0 b. reject H0:,31 =0 O c. not reject H0:,31 =0