Eight porno plants, of the some variety were pelected on random and coated, weekdy. with a solution in which x grams of former won dissolved in a food quantity of water, The yeld y kilograms of 1.5 20 3.5 25 7.0 71 73 7.7 Which of the following represents the repression equation of the grams of fervilizer and the yield of tomatoes? Select the comicinispouse Oy. 1.08 - 325 0 yo 325 - 1.08x none of the choices Oy 325-1.06xSUMMARY OUTPUT Regression Statistics Multiple R 0.86621031 R Square 0.750320301 Adjusted R Square 0.738266798 Standard Error 2.196889159 Observations 153 ANOVA df sS MS F Significance F Regression 7 2103.041091 300.4344 62.24915021 1.44027E-40 Residual 145 699.8166865 4.826322 Total 152 2802.857778 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 33.88158598 4.898326369 6.916972 1.3687E-10 24.20024199 43.56292997 24.20024199 43.56292997 engine_size -0.989010569 0.398467373 -2.48204 0.01420462 -1.776565218 -0.201455919 -1.776565218 -0.201455919 horsepower -0.004567729 0.005916448 -0.77204 0.441347777 -0.01626135 0.007125892 -0.01626135 0.007125892 wheelbase -0.018646979 0.049067994 -0.38002 0.704484206 -0.115627886 0.078333927 -0.115627886 0.078333927 width 0.018414486 0.089710202 0.205266 0.837651909 -0.158894099 0.195723072 -0.158894099 0.195723072 length 0.055636692 0.026734261 2.081101 0.039183241 0.002797506 0.108475878 0.002797506 0.108475878 curb_wt -2.504547949 0.669570445 -3.74053 0.000263798 -3.827926857 -1.181169041 -3.827926857 -1.181169041 fuel_capacity -0.413372507 0.095064893 -4.34832 2.56971E-05 -0.601264423 -0.225480591 -0.601264423 -0.225480591 How much variation in fuel efficiency can be explained by the given set of independent variables? select the correct response: 73.839% 2 20% 75.03%Find the least squares regression equation for the data in the table below. 14 37 43 25 25 25 15 37 33 33 27 26 42 21 45 40 42 46 45 51 Round your coefficients to four decimal places. Select the correct response. =-0.0336 +37.6979 C . y = 0.31 16x+37.6979 O y= -0.03 36x +48.0769Eight tomato plants, of the same variety were selected at random and treated, weekly, with a solution in which x grams of fertilizer was dissolved in a fixed quantity of water. The yield y kilograms of tomatoes were recorded. x 1.0 15 20 30 3.5 40 4.5 25 y : 3.9 : 4.4 : 58 : 7.0:7 : 7.1 : 7.3 : 7.7 : 6.6 If 8.57 kilograms of tomatoes were yielded, how much fertilizer wes usea? Select the correct response. 1251 9.19 8.83The following table gives the actual or projected population in millions for a certain city for selected years from 2000 to 2050. Use linear regression to find the linear equation that is the best fit for the data, with x equal to the number of years past 2000. Round your coefficients to three decimal places. Years Population(billions) 2000 1.1 2010 1.9 2020 2.4 2030 2.7 2040 3.1 2050 3.8 Select the correct response. y = 0.050x + 1.857 y = 0.050x + 1.257 y = 0.019x + 2.029 y = 0.019x + 1.257Select the comeer responseThe manager of ABC apparels wanted to know the relationship between TV spot ads per week and the number of stores one: made orders from the company. Compiled data are as follows Tvads/week (0 14 19 14 20 22 24 27 42 40 No of stores () 8 15 14 22 30 21 34 35 The regression equation is given by Select the compet response ) No. of stores = 1.0634 + 0.9434 (No. of TV ads/week) No. of TV ads/week = 10435 + 0.9434 (No. of stores) O none of the choices ) No. of stores = 0.9434 -1.0635 (No. of TV ads/week)SUMMARY OUTPUT Regression Statistic Multiple R 0.86621031 R Square 0.750320301 Adjusted A Square 0.738266798 Standard Error 2.196889159 Observations 153 ANOVA 55 F Significare F Repression 7 2103,041091 300.4344 62.24915071 1.440276-40 Residual 145 690 8165865 4.826322 Total 157 2802.857778 Coefficients Standard Error r Scot P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 33.88158598 4 898326369 6.916972 1.3687E-10 24.20024199 43.56292997 24.20024199 43.56292997 engine_size -0.989010569 0.398467373 -2.48204 0.01420462 -1.776565218 -0.201455919 -1.776565218 -0.201455919 horsepower -0.004567729 0.005916448 -0.77204 0.441347777 -0.01626135 0.007125892 -0.01626135 0.007125892 wheelbase -0.018646979 0.049067994 -0.38002 0.704484206 -0.115627886 0.078333927 -0.115627886 0.078333927 width 0.018414486 0.089710202 0.205266 0.837651909 -0.158894099 0.195723072 -0.158894099 0.195723072 length 0.055636692 0.026734261 2.081101 0.039183241 0.002797506 0.108475878 0.002797506 0.108475878 curb_wt -2.504547949 0.669570445 -3.74053 0.000263798 -3.827926857 -1.181169041 -3.827926857 -1.181169041 fuel capacity -0.413372507 0.095064893 -4.34832 2.569710-05 -0.601264423 -0.225480591 -0.601264423 -0.225480591 now many independent variables are related to fuel efficiency? Select the comect response 03 0 4 O S 7Question 11 of 32 Given the bivariate data: X -0.1 -3.3 -6.1 3 -9.6 -12.2 (1) Find the least-squares regression line for the data. Round constants to the nearest hundredth. (ii) Use the equation of the least-squares line to predict the value of y when x=3.6. Select the correct response. y =-297x-0.16 O y = -10.852 y =-3.05x -0.16 O y=-11.14 y =-0.16x + 2.97 O y=-11.14