Calculate the test statistic. (Round your answer to two decimal places.) F= Use technology to calculate the P-value. (Round your answer to four decimal places.) P-value= What can you conclude? and 14 are all not 0. and 14 • Reject H. We have convincing evidence that the multiple regression model is useful and can conclude that ₁, ₂ O Fail to reject Ho. We do not have convincing evidence that the multiple regression model is useful and cannot conclude that A₁, A₂ O Fail to reject Ho. We do not have convincing evidence that the multiple regression model is useful and cannot conclude that at least one of P₁, P₂, or P14 is not 0. O Reject Ho. We have convincing evidence that the multiple regression model is useful and can conclude that at least one of P₁, P₂r. ) Calculate SSResid. (Round your answer to four decimal places.) SSResid= Interpret SSResid. O This tells us the proportion of the observed variation in brightness that can be explained by the fitted model. Calculate R². (Round your answer to three decimal places.) R²=[ Interpret R². O This tells us the proportion of the observed variation in brightness that can be explained by the fitted model. or $₁4 is not 0. O This is the interquartile range of the deviations of the brightness values in the sample from the values predicted by the estimated regression equation. O This is the sum of the squares of the deviations of the actual values from the values predicted by the fitted model. This is the probability of observing a value of the F-statistic at least as extreme as the observed F-statistic when P₁, P₂, and ₁4 are all 0. This is a typical deviation of a brightness value in the sample from the value predicted by the estimated regression equation. are all not 0. O This is the interquartile range of the deviations of the brightness values in the sample from the values predicted by the estimated regression equation. This is the sum of the squares of the deviations of the actual values from the values predicted by the fitted model. O This is the probability of observing a value of the F-statistic at least as extreme as the observed F-statistic when P₁ P2 and ₁4 are all 0. O This is a typical deviation of a brightness value in the sample from the value predicted by the estimated regression equation. Calculate - (Round your answer to four decimal places.) Interpret s O This tells us the proportion of the observed variation in brightness that can be explained by the fitted model. This is the interquartile range of the deviations of the brightness values in the sample from the values predicted by the estimated regression equation. O This is the sum of the squares of the deviations of the actual values from the values predicted by the fitted model. This is the probability of observing a value of the F-statistic at least as extreme as the observed F-statistic when P₁ P₂ and ₁4 are all 0. O This is a typical deviation of a brightness value in the sample from the value predicted by the estimated regression equation. X X