hello i need help with these statistic questions everything is in order thank you

question 13

1:. Determine and interpret the regression equation for the data. Select the correct choice below and, if necessary, ll in any answer boxes within your choice. at n The regression equation is y = - 1591 + [0.919 )1 x. which means there is a positive linear relationship between high and low temperatures. (Round to three decimal places as needed.) The regression equation is = + [ )x. which means there is a negative linear relationship between high and low temperatures. (Round to three decimal places as needed.) X This question is not applicable since a regression line is not reasonable. cl. Identify outliers and potential influential observations. Choose the correct choice below. it There is one outlier and no influential observations. There are one or more outliers and influential observations. There are no outliers and one influential observation. * There are no outliers and no influential observations. This question is not applicable since a regression line is not reasonable. e. In case a potential outlier is present, remove it and discuss the effect. Select the correct choice below and, if necessary, fill in any answer boxes within your choice. A. The new regression equation, + () x, is about the same as the original. O B. The new regression equation, + ( ) x, is significantly different from the original. C. There are no potential outliers. X D. This question is not applicable since a regression line is not reasonable. f. In case a potential influential observation is present, remove it and discuss the effect. Select the correct choice below and, if necessary, fill in any answer boxes within your choice. A. The new regression equation, + () x, is about the same as the original. O B. The new regression equation, + ( ) x, is significantly different from the original. C. There are no potential influential observations. O D. This question is not applicable since a regression line is not reasonable.A random sample of 50 cities have the data on average high and low temperatures in January shown in the accompanying table. Use the technology of your choice and the given data to complete parts (a) through (f). Use high temperature as the explanatory variable. % Click the icon to View the table of average high and low temperatures. a. Obtain a scatterplot or the data. Choose the correct scatterplot below. v 100 Q 100 a 100 Q Q 0 il' a a Q - a a 7: 7: 7: .7: u U U U U 4 f 4 M . I'M- : \"-1." {r m' a 3, r3 . . r; c ' c c c {l 100 {l 100 {l 100 {l 100 High High High High b. Decide whether nding a regression line for the data is reasonable. Choose the correct choice below. There is a clear curved pattern to the data, so it is inappropriate to carry out a linear regression. There is a linear pattern to the data, so it is appropriate to carryr out a linear regression. There is a linear pattern to the data, so it is inappropriate to carry out a linear regression. There is a clear curved pattern to the data, so it is appropriate to carry out a linear regression. There is no clear pattern to the data, so it is inappropriate to carry out a linear regression. Average high and low temperatures Full data set High | Low High | Low 33 23 36 27 31 23 59 41 91 74 62 47 86 71 64 52 66 55 85 78 61 47 36 21 64 47 85 70 59 40 41 33 42 34 52 39 33 23 68 48 26 18 34 23 57 44 52 43 45 36 61 51 42 33 35 25 70 47 85 80 85 72 28 16 82 75 45 34 52 38 48 38 85 72 81 64 86 76 28 8 44 35 36 27 59 50 45 41 35 27 85 70 80 64 44 33 85 66 49 35 Print Doneb. Find SSE. SSE = (Round to four decimal places as needed.)For a particular regression analysis, SST = 191.9984 and SSR = 180.0116. a. Obtain the coefficient of determination. b. Determine SSE. a. Determine the value of ro, the coefficient of determination. (Round to four decimal places as needed.)The data given below are the ages at inauguration and of death for some presidents of the United States. Use the technology of your choice to complete parts (a) through (d). Click the icon to view the data. a. Decide whether finding a regression line for the data is reasonable. If so, then also do parts (b) through (d). For the purposes of this regression, let Inauguration be the explanatory variable (x) and let Death be the response variable (y). There is to the data, so it is to carry out a linear regression.b. Compute the coefficient of determination, r2. Select the correct choice below and. if necessary, fill in the answer box within your choice. r2 = 0.395 (Round to three decimal places as needed.) x It is not appropriate to carry out a linear regression. :3. Determine the percentage of variation in the observed values of the response variable explained by the regression. and interpret your answer. Select the correct choice below and, if necessary. ll in the answer box I.uvithin your choice. About 9-3 of the variation in age at inauguration is explained by age at death. (Round to one decimal place as needed.) * About 39.5 % of the variation in age at death is explained by age at inauguration. (Round to one decimal place as needed.) x It is not appropriate to carry out a linear regression. d. State how useful the regression equation appears to be for making predictions. @1 A. Not useful [:1 B. Moderately useful [:1 C. Very useful [:1 D. It is not reasonable to carry out a linear regression.