Given the following ANOVA table: Source DF MS Regression Error 1 1,700.0 1,700.00 32.00 16 850.0 53.13 Total 17 2,550.0 a. Determine the coefficient of determination. (Round your answer to 3 decimal places.) Coefficient of determination b. Assuming a direct relationship between the variables, what is the correlation coefficient? (Round your answer to 2 decimal places.) Coefficient of correlation c. Determine the standard error of estimate. (Round your answer to 2 decimal places.) Standard error of estimate

Given the following ANOVA table: Source DF MS Regression Error 1 1,800.0 900.0 1,800.00 90.00 20.00 10 Total 11 2,700.0 a. Determine the coefficient of determination. (Round your answer to 3 decimal places.) Coefficient of determination b. Assuming a direct relationship between the variables, what is the correlation coefficient? (Round your answer to 2 decimal places.) Coefficient of correlation c. Determine the standard error of estimate. (Round your answer to 2 decimal places.) Standard error of estimate

Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant linear correlation between advertising cost and profit . Use a significance level of 0.05 and round all values to 4 decimal places. Advertising Cost Profit 3 19 4 16 24 6 29 7 25 27 10 30 Ho: p = 0 На: р * 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho The conclusion is O There is a significant negative linear correlation between advertising expense and profit. O There is a significant linear correlation between advertising expense and profit. O There is a significant positive linear correlation between advertising expense and profit. O There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and…

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Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant linear correlation between advertising cost and profit Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost Profit 3 21 4 16 5 29 17 7 28 8 21 Ho: p = 0 Ha: p +0 Find the Linear Correlation Coefficient r= Find the p-value p-value = The p-value is Less than (or equal to) a OGreater than a The p-value leads to a decision to Do Not Reject Ho OReject Ho OAccept Ho

We give the total variation, the unexplained variation (SSE), and the least squares point estimate b1 .    Total variation = 13.459; SSE = 2.806; b1 = 2.6652       Click here for the Excel Data File   Using the information given, find the explained variation, the simple coefficient of determination (r2), and the simple correlation coefficient (r). Interpret r2. (Round your answers to 3 decimal places. Round your percent to 1 decimal place.)          Explained variation      r2      r            % of the variation in demand can be explained by variation in price differential.

A magazine tested paints. The table below shows the overall quality score and cost in dollars per gallon. Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of alpha equals 0.05. Based on these​ results, do you get better quality paint by paying​ more?   a. Calculate the test statistic. r s equals  (Round to three decimal places as​ needed.)     b. Find the critical values. r s equals plus or minus ​(Round to three decimal places as​ needed.)

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Using the same data as question 4 (included below), determine the coefficient of determination. Report your answer with 4 significant figures. Y 4.99 22.19 1.96 9.89 2.98 11 40.46 4.04 18.93 6.06 25 0.88 0.19 8.02 34.02 6.97 28.03