Based on the data shown below, calculate the regression line (each value to three decimal places)
Y= _____ X+ ________
(Caution, make sure you have these entered in the correct
order)
X | Y |
1 | 18.4 |
2 | 21.5 |
3 | 23.8 |
4 | 29.3 |
5 | 31.1 |
6 | 33.7 |
7 | 37.2 |
8 | 37.9 |
9 | 40.8 |
10 | 43 |
11 | 46.9 |
12 | 51.3 |
13 | 52.5 |
14 | 56.3 |
The observation table is
X | Y | X*Y | X2 | Y2 | |
1 | 18.4 | 18.4 | 1 | 338.56 | |
2 | 21.5 | 43 | 4 | 462.25 | |
3 | 23.8 | 71.4 | 9 | 566.44 | |
4 | 29.3 | 117.2 | 16 | 858.49 | |
5 | 31.1 | 155.5 | 25 | 967.21 | |
6 | 33.7 | 202.2 | 36 | 1135.69 | |
7 | 37.2 | 260.4 | 49 | 1383.84 | |
8 | 37.9 | 303.2 | 64 | 1436.41 | |
9 | 40.8 | 367.2 | 81 | 1664.64 | |
10 | 43 | 430 | 100 | 1849 | |
11 | 46.9 | 515.9 | 121 | 2199.61 | |
12 | 51.3 | 615.6 | 144 | 2631.69 | |
13 | 52.5 | 682.5 | 169 | 2756.25 | |
14 | 56.3 | 788.2 | 196 | 3169.69 | |
Sum = | 105 | 523.7 | 4570.7 | 1015 | 21419.77 |
Based on the above table
Therefore, based on the above calculations, the regression coefficients (the slope m, and the y-intercept a) are obtained as follows:
Therefore, we find that the regression equation is:
Based on the data shown below, calculate the regression line (each value to three decimal places)...
Based on the data shown below, use your graphing calculator or Excel to calculate the regression line (each value to two decimal places)y = x + xy221.3322.15421.4518.75618.4714.35814.7912.65109.31110.55129.4135.15146152.55163.1
Based on the data shown below, calculate the regression line (each value to two decimal places) y= X+ 3 12.61 4 14.08 5 | 15.45 6 12.72 7 | 16.69 8 15.16 9 16.73 10 16 | 11 | 18.67 Run a regression analysis on the following bivariate set of data with y as the response variable. 12.2 31.5 36 20. 9 26.6 9 19.1 10.8 17.1 5.9 49.6 43.1 40.1 24 -20.7 27.6 17.4 83.6 78.4 56.3 42.4 114...
Based on the data shown below, calculate the regression line (each value to two decimal places) y = х у 4 33.87 5 33 6 | 28.73 7 30.16 8 24.99 9 25.52 1020.85 11 | 22.68 12 19.91 | 13 16.74 14 15.47 15 13.6 =9.5 y = 23.793333333333 S; = 3.605551275464 $y = 6.7657887174887 r = -0.98293803686843
Based on the data shown below, calculate the regression line (each value to two decimal places) x y 4 12.16 5 16.75 6 19.04 7 18.43 8 | 22.32 9 23.51 10 24.9 11 | 29.79 12 33.28 1334.67 14 33.76 15 38.65 16 39.54 17 41.63
Based on the data shown below, calculate the regression line (each value to two decimal places) y =____ x + _____ x y 5 11 6 11.82 7 12.64 8 16.86 9 16.78 10 21.2
Based on the data shown below, calculate the regression line (each value to two decimal places) y- 4 10.22 5 15.05 6 15.68 7 14.61 8 15.34 917.97 10 17.7 21.23 12 21.06 13 20.99
Based on the data shown below, calculate the regression line (each value to two decimal places) х+ у- X y 16.24 3 4 17.02 5 20.7 6 23.48 7 22.56 8 26.14 9 26.32 10 28.7 11 29.48 12 30.16 Based on the data shown below, calculate the regression line (each value to two decimal places) х+ у- X y 16.24 3 4 17.02 5 20.7 6 23.48 7 22.56 8 26.14 9 26.32 10 28.7 11 29.48 12 30.16
Based on the data shown below, calculate the correlation coefficient (to three decimal places) x y 4 23.14 5 21.07 6 19.1 7 18.33 8 19.86 9 18.49 10 18.42 11 19.45 12 19.28 13 18.61 14 16.34 15 15.97 16 15.4
Based on the data shown below, calculate the correlation coefficient (to three decimal places) x y 5 13.95 6 15.44 7 17.93 8 17.12 9 16.91 10 18.7 11 20.09 12 18.68 13 21.27 14 20.26 15 21.35 16 20.74 17 23.23 18 23.62 19 20.71
Based on the data shown below, calculate the correlation coefficient (rounded to three decimal places)xy543.98640.07735.76836.25931.641027.131127.521224.511318.3