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You may need to use the appropriate technology to answer this question. The following estimated regression equation based on 10 observations was presented. = 29.1670
You may need to use the appropriate technology to answer this question. The following estimated regression equation based on 10 observations was presented. = 29.1670 + 0.5704x, + 0.4980*2 Here, SST = 6,736.125, SSR = 6,222.375, s;, = 0.0813, and 56_ = 0.0569. (a) Compute MSR and MSE. (Round your answers to three decimal places.) MSR = MSE = (b) Compute F and perform the appropriate F test. Use a = 0.05. State the null and alternative hypotheses. O Ho: B, = 0 and B2 = 0 H: One or more of the parameters is equal to zero. O Ho: B 1 > $2 H. : B1 = P2 O Ho: B1 = $2 H: B, 2 P2 O Ho: B, = 0 and B2 = 0 H: B, = 0 and B2 = 0 O Ho : B 1 = B2 =0 Ha: One or more of the parameters is not equal to zero. Find the value of the test statistic. (Round your answer to two decimal places.) F = Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. O Reject Ho. There is sufficient evidence to conclude that the overall model is significant. O Do not reject Ho. There is sufficient evidence to conclude that the overall model is significant. O Reject Ho. There is insufficient evidence to conclude that the overall model is significant. O Do not reject Ho. There is insufficient evidence to conclude that the overall model is significant.(c) Perform a t test for the significance of B, . Use a = 0.05. State the null and alternative hypotheses. O Ho: B, 0 O H : B, 20 H. : B, 50 Find the value of the test statistic. (Round your answer to two decimal places.) t = Find the p-value. (Round your answer to three decimal places.) p-value = State your conclusion. Do not reject Ho. There is insufficient evidence to conclude that B, is significant. O Reject Ho. There is insufficient evidence to conclude that B, is significant. O Reject Ho. There is sufficient evidence to conclude that B, is significant. O Do not reject Ho. There is sufficient evidence to conclude that , is significant
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