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Reference is given below.

Question 3 (1 point) X 28 23 30 48 40 25 26 91 106 112 192 155 130 101 The standard error of the estimate for the above bivariate data is: 1) 15.67 ( 2) 17.32 ( 3) 19.34 ( 4) 38.73Question 4 (1 point] X 29 24 4O 22 43 Y 46 5 1 42 52 41 The coefficient of determination for the above bivariate data is: O 1) 0.87 O 2) 0.90 O 3) 0.93 O 4) 0.96 36 46 33 46 The independent variable is X, and the dependent variable is 1'. In order to compute the regression coefcients, the following table needs to be used: X Y X - Y X2 Y2 23 91 2543 734 3231 23 106 2433 529 1 1 236 30 112 3360 900 12544 43 192 9216 2304 36364 40 155 6200 1600 24025 25 130 3250 625 16900 26 101 2626 676 10201 Sum = 220 337 29633 7413 120051 Based on the above table, the following is calculated: 3 X = l Xi = E = 31.428571428571 n , 7 :21 _ 1 " 887 Y = Y} = = 126.71428571429 n 7 2:1 n 1 TI. 2 2 2 SSXX :E1:X,; 21X, :7418220 /7: 5: 1,: 503.71428571429 2 1 1'1 35W : 211.2 E 2}; 2120051 8872/7 : i=1 76554285714286 887/7 2 17608571428571 Therefore, based on the above calculations, the regression coefcients (the slope m, and the yintercept n) are obtained as follows: _ SEXY _ 17608571428571 _ 3.495? m SSXX 503.71428571429 n = Y X - m = 126.71428571429 31428571428571 x 3.4957 2 16.848 Therefore, we nd that the regression equation is: Y = 16.848 + 3.4957X