You may need to use the appropriate technology to answer this question. The owner of a retail store randomly selected the following weekly data on profits and advertising cost. (a) Write down the appropriate linear relationship between advertising cost and profits. The appropriate linear relationship is E(y)=0+1x where y is and x is Which variable is the dependent variable? Which variable is the ir The dependent variable is , and the independe (b) Develop the least squares estimated regression equation. (Round places.) y^= (c) Predict the profits (in dollars) for a week when $205 is spent on advertising. (Round your answer to two decimal places.) $ You may need to use the appropriate technology to answer this question. The owner of a retail store randomly selected the following weekly data on profits and advertising cost. (a) Write down the appropriate linear relationship between advertising cost and profits. The appropriate linear relationship is E(y)=0+1x where y is and x is Which variable is the dependent variable? Which variable is the independent variable? The dependent variable is and the independent variable is (b) Develop the least squares your numerical values to four decimal places.) y^= profit advertising cost (c) Predict the profits (in dollars) ror a week when \$zU5 is spent on advertising. (Round your answer to two decimal places.) $ (d) Using a t-test at the 5% level of significance, test to determine if the relationship between advertising costs and profits is statistically significant. State the null and alternative hypotheses. (Enter != for = as needed.) H0: You may need to use the appropriate technology to answer this question. The owner of a retail store randomly selected the following weekly data on profits and advertising cost. (a) Write down the appropriate linear relationship between advertising cost and profits. The appropriate linear relationship is E(y)=0+1x where y is and x is Which variable is the dependent variable? Which variable is the independent variable? The dependent variable is , and the independent variable is (b) Develop the least squares estimated regression equation. (Round your numerical values to fo y^= (c) Predict the profits (in dollars) for a week when $205 is spent on advertising. (Round your answer to two decimal places.) $ (d) Using a t-test at the 5% level of significance, test to determine if the relationship between advertising costs and profits is statistically significant. State the null and alternative hypotheses. (Enter != for = as needed.) H0: You may need to use the appropriate technology to answer this question. The owner of a retail store randomly selected the following weekly data on profits and advertising cost. (a) Write down the appropriate linear relationship between advertising cost and profits. The appropriate linear relationship is E(y)=0+1x where y is and x is Which variable is the dependent variable? Which variable is the independent variable? The dependent variable is , and the independent variable is: (b) Develop the least squares estimated regression equation. (Round your numeric y^= (c) Predict the profits (in dollars) for a week when $205 is spent on advertising. (Rouna your answer to two aecimal praces.) $ (d) Using a t-test at the 5% level of significance, test to determine if the relationship between advertising costs and profits is statistically significant. State the null and alternative hypotheses. (Enter != for = as needed.) H0: (b) Develop the least squares estimated regression equation. (Round your numerical values to four decimal places.) y^= (c) Predict the profits (in dollars) for a week when $205 is spent on advertising. (Round your answer to two decimal places.) $ (d) Using a t-test at the 5% level of significance, test to determine if the relationship between advertising costs and profits is statistically significant. State the null and alternative hypotheses. (Enter != for = as needed.) H0: Ha: Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value= What is your conclusion? Do not reject H0. We conclude that the relationship between advertising cost and profit is significant. Do not reject H0. We cannot conclude that the relationship between advertising cost and profit is significant. Reject H0. We cannot conclude that the relationship between advertising cost and profit is significant. Reject H0. We conclude that the relationship between advertising cost and profit is significant. (e) Calculate the coefficient of determination. (Round your answer to four decimal places.) You may need to use the appropriate technology to answer this question. The owner of a retail store randomly selected the following weekly data on profits and advertising cost. (a) Write down the appropriate linear relationship between advertising cost and profits. The appropriate linear relationship is E(y)=0+1x where y is and x is Which variable is the dependent variable? Which variable is the ir The dependent variable is , and the independe (b) Develop the least squares estimated regression equation. (Round places.) y^= (c) Predict the profits (in dollars) for a week when $205 is spent on advertising. (Round your answer to two decimal places.) $ You may need to use the appropriate technology to answer this question. The owner of a retail store randomly selected the following weekly data on profits and advertising cost. (a) Write down the appropriate linear relationship between advertising cost and profits. The appropriate linear relationship is E(y)=0+1x where y is and x is Which variable is the dependent variable? Which variable is the independent variable? The dependent variable is and the independent variable is (b) Develop the least squares your numerical values to four decimal places.) y^= profit advertising cost (c) Predict the profits (in dollars) ror a week when \$zU5 is spent on advertising. (Round your answer to two decimal places.) $ (d) Using a t-test at the 5% level of significance, test to determine if the relationship between advertising costs and profits is statistically significant. State the null and alternative hypotheses. (Enter != for = as needed.) H0: You may need to use the appropriate technology to answer this question. The owner of a retail store randomly selected the following weekly data on profits and advertising cost. (a) Write down the appropriate linear relationship between advertising cost and profits. The appropriate linear relationship is E(y)=0+1x where y is and x is Which variable is the dependent variable? Which variable is the independent variable? The dependent variable is , and the independent variable is (b) Develop the least squares estimated regression equation. (Round your numerical values to fo y^= (c) Predict the profits (in dollars) for a week when $205 is spent on advertising. (Round your answer to two decimal places.) $ (d) Using a t-test at the 5% level of significance, test to determine if the relationship between advertising costs and profits is statistically significant. State the null and alternative hypotheses. (Enter != for = as needed.) H0: You may need to use the appropriate technology to answer this question. The owner of a retail store randomly selected the following weekly data on profits and advertising cost. (a) Write down the appropriate linear relationship between advertising cost and profits. The appropriate linear relationship is E(y)=0+1x where y is and x is Which variable is the dependent variable? Which variable is the independent variable? The dependent variable is , and the independent variable is: (b) Develop the least squares estimated regression equation. (Round your numeric y^= (c) Predict the profits (in dollars) for a week when $205 is spent on advertising. (Rouna your answer to two aecimal praces.) $ (d) Using a t-test at the 5% level of significance, test to determine if the relationship between advertising costs and profits is statistically significant. State the null and alternative hypotheses. (Enter != for = as needed.) H0: (b) Develop the least squares estimated regression equation. (Round your numerical values to four decimal places.) y^= (c) Predict the profits (in dollars) for a week when $205 is spent on advertising. (Round your answer to two decimal places.) $ (d) Using a t-test at the 5% level of significance, test to determine if the relationship between advertising costs and profits is statistically significant. State the null and alternative hypotheses. (Enter != for = as needed.) H0: Ha: Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value= What is your conclusion? Do not reject H0. We conclude that the relationship between advertising cost and profit is significant. Do not reject H0. We cannot conclude that the relationship between advertising cost and profit is significant. Reject H0. We cannot conclude that the relationship between advertising cost and profit is significant. Reject H0. We conclude that the relationship between advertising cost and profit is significant. (e) Calculate the coefficient of determination. (Round your answer to four decimal places.)