please answer all questions ASAP and i will give you a thumbs up!

You may need to use the appropriate technology to answer thit suestion. (s100s), and y represent Weeky Gross flevenue (\$100s).) Develop an estimated regression equation with the amount of television advertising as the independent variable, (Mound your numerical values to four decimal places.) 9= Test for a significant relationship between the amount spert on television advertising and weekly gross revenue at the 0.05 level of significance. (Use the C test.) Find the p-value. (Round your answer to four decimal places.) prvalue - State yeur conclusion. We fal to reject H0. We cannot conclude that there is a relationship between the amount spent on television advertising and weekly gross revemue. We reject H0. We can conclude that there is a relationship between the amount spent on television advertising and weekly gross revenue. We fail to reject H0. We can conchude that there is a relationshlp between the amount spent on television advertising and weekly gross revenue. We reject H0. We cannot condude that there is a relationship between the amount spent on television advertising and weekly grass revenue. places; ) 9= Pvatue - Test whether the regression parameter 1 is equal to zero at a 0.05 level of significance. Find the p-value. (Round your answer to four decimal places.) p-value= Test whether the regression parameter 2 is equal to zero at a 0.05 level of significance. Find the p-value. (Round your answer to four decimal places.) p-value= (d) How much of the variation in the sample values of weekly gross revenue (in % ) does the model in part (c) explain? (Round your answer to rwo decimal places.) \% (c) Given the results in parts (a) and (c), what should your next step be? Explain