a)

b)
The general regression equation is given by

The coefficient b is known as the slope coefficient, and the
coefficient a is known as the y-intercept.
here y-intercept : a = 216.6598
Slope : b = -13.9208
c) figure length is 3.2 cm
Let regression equation be
Weight(lb)=216.6598−13.9208Figurelength(cm)
Weight (lb) = 216.6598 - 13.9208 * 3.2
Weight (lb) = 216.6598 - 44.54656
Weight(lb) = 172.11324
The following data are passed: Figure length(cm) Weight (lb) 125 136 154 165 154 172 The independent variable is Figurelength(cm), and the dependent variable is Weight(lb). In order to compute the regression coefficients, the following table needs to be used: Figure length(c Weight (lb) Figure length(c m)*Weig ht (lb) Figure length(c Weight (lb)2 m2 125 637.5 26.01 15625 6 136 816 36 18496 154 569.8 13.69 23716 726 27225 4.4 4.6 4.5 165 154 172 708.4 19.36 21.16 20.25 23716 774 29584 Sum = 28.3 906 4231.7 136.47 138362 Based on the above table, the following is calculated: 28.3 * = x = 28,3 – 4.71666666667 = 4.7166666666667 906 n Y; = = 151
SSxx = X = 136.47 – 28.3/6 = 2.9883333333333 85*8 = 3x3 ++ (2x) – 1647 – 237/6 – 29889sage 95y = $x -- (37) – 1862 – 90°) - 1556 S88v = {xx - + (2x) (3x) – 4231.7 –283 x 306/6 – – 41.509 SSYY =) 138362 - 9062/6 = 1556 n2 =1 Therefore, based on the above calculations, the regression coefficients (the slope m, and the y-intercept n) are obtained as follows: m = od SSXY SSxx -41.599999999999 2.9883333333333 = -13.9208 n=Y - Xm = 151 - 4.7166666666667 (-13.9208) = 216.6598 Therefore, we find that the regression equation is: Weight(lb) = 216.6598 - 13.9208 Figurelength(cm) Graphically Scatter Plot and Regression Line 115.9024 3.44 3.64 3.84 4.04 4.24 4.44 4.64 4.84 5.04 5.24 5.44 5.64 5.84 6.04 6.24 6.44
Y = a +bX