10. Listed below are the budgets (in millions of dollars) and the gross receipts (in millions...
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10. Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between budgets and gross receipts? Do the results change if the actual budgets listed are $60,000,000, $91,000,000, $47,000,000, and so on? Budget (x) Gross (y) 60 91 47 34 200 95 88 66 69 48 59 682 144 48 What are the mull and alternative hypotheses? YA Ho p=0 H p=0 OC Họ p=0 H p>0 OB Ho p=0 Hi p<0 OD. Ho p+0 Hi p=0 Construct a scatterplot. Choose the correct graph below. OA OB OD. 800- 800- B00 800- 250 The linear correlation coefficient r is . (Round to three decimal places as needed.) The test statistic tis. (Round to three decimal places as needed.) The P-value is . (Round to three decimal places as needed.) Because the P-vahue is less than the significance level 0.05, there is sufficient evidence to support the claim that there is a linear correlation between between budgets and gross receipts for a significance level of a = 0.05. Do the results change if the actual budgets Ested are Só1,000,000, S94,000,000, S47,000,000, and so on? OA Yes, the results would change because it would result in a different linear corelation coefficient. OB. Yes, the results would need to be multiplied by 1,000,000. OC No, the results do not change because it would result in a different linear correlation coefficient. OD. No, the results do not change because it would result in the same linear correlation coefficient. 10. Listed below are the budgets (in millions of dollars) and the gross receipts (in millions of dollars) for randomly selected movies. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between budgets and gross receipts? Do the results change if the actual budgets listed are $60,000,000, $91,000,000, $47,000,000, and so on? Budget (x) Gross (y) 60 91 47 34 200 95 88 66 69 48 59 682 144 48 What are the mull and alternative hypotheses? YA Ho p=0 H p=0 OC Họ p=0 H p>0 OB Ho p=0 Hi p<0 OD. Ho p+0 Hi p=0 Construct a scatterplot. Choose the correct graph below. OA OB OD. 800- 800- B00 800- 250 The linear correlation coefficient r is . (Round to three decimal places as needed.) The test statistic tis. (Round to three decimal places as needed.) The P-value is . (Round to three decimal places as needed.) Because the P-vahue is less than the significance level 0.05, there is sufficient evidence to support the claim that there is a linear correlation between between budgets and gross receipts for a significance level of a = 0.05. Do the results change if the actual budgets Ested are Só1,000,000, S94,000,000, S47,000,000, and so on? OA Yes, the results would change because it would result in a different linear corelation coefficient. OB. Yes, the results would need to be multiplied by 1,000,000. OC No, the results do not change because it would result in a different linear correlation coefficient. OD. No, the results do not change because it would result in the same linear correlation coefficient.
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