Solution :
| X | Y | XY | X^2 | Y^2 |
| 1.2 | 54 | 64.8 | 1.44 | 2916 |
| 1.4 | 53 | 74.2 | 1.96 | 2809 |
| 1.6 | 55 | 88 | 2.56 | 3025 |
| 1.8 | 54 | 97.2 | 3.24 | 2916 |
| 2 | 56 | 112 | 4 | 3136 |

| n | 5 |
| sum(XY) | 436.20 |
| sum(X) | 8.00 |
| sum(Y) | 272.00 |
| sum(X^2) | 13.20 |
| sum(Y^2) | 14802.00 |
| Numerator | 5.00 |
| Denominator | 7.21 |
| r | 0.6934 |
| r square | 0.4808 |
| Xbar(mean) | 1.6000 |
| Ybar(mean) | 54.4000 |
| SD(X) | 0.2828 |
| SD(Y) | 1.0198 |
| b | 2.5000 |
| a | 50.4000 |
The equation of regression line,
= a + bx
= 50.4 + 2.5x
Use the given data to find the equation of the regression line. Round the final values...
8! standard deviation of 50. If 40 different applicants are randomly selected, find the probability that their mean is above 215. Explain how you found the answer. se the given data to find the equation of the regression line. Round the final values to tenths, if necessary. "oints: 5 17) X 1.2 1.4 1.6 1.8 2.0 y 54 53 55 54 56 How did you find the equation of the regression line?
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. Two different tests are designed to measure employee productivity and dexterity. Several employees are randomly selected and tested with these results (please type answer for easy clarity). Productivity 23 25 28 21 21 25 26 30 34 36 Dexterity 49 53 59 42 47 53 55 63 67 75
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. Two different tests are designed to measure employee productivity and dexterity. Several employees are randomly selected and tested with these results. Productivity (x) 23 25 28 21 21 25 26 30 34 36 Dexterity () 4953 59 42 47 53 55 63 67 75 OAý 753-nay O 2 y = 2 38 + 2 033 Ocỹ = 10.7+1.53x...
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary 27)計03 4512 27) y 8 269 12
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. (47,8), (46, 10), (27, 10) 9 = 4.88 +0.625x 9 = 11.538 -0.055x 9 = 4.98 +0.725x ý = 4,98 +0.425x.
Use the given data to find the equation of the regression line. Round the final values to three places, if necessary. (2. 13). (4. 11).(5,7) Oy=-3.79 +0.801X O y = 17.14 - 1.857x O 9=-2.79 +0.950x O 9 = -2.79 +0.897x
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. ху 1 143 3116 5 100 7 98 990 O y^= 150.7 - 6.8x O y^= 140.4 - 6.2x O y^= - 140.4 - 6.2x O y^= - 150.7 + 6.8x
Use the given data to find the equation of the regression line. Round the final values to one decimal place. Table 4 x 7 8 9 6 y 20 22 25 22
Use the information to make each prediction. If the prediction is not reliable, state so. Round the final values to three decimal places, if necessary, 2) x 1.2 1.4 1.6 1.8 2.0 y 54 53 55 54 56 T0.6934 2) y = 50.4 +2.50% a.) Find the predicted value of y for x = 6.1 b.) Find the predicted value of y for x = 1.3 c.) Find the predicted value of y for x = 2.3
Use the information to make each prediction. If the prediction is not reliable, state so. Round the final values to three decimal places, if necessary. 2) 1.2 1.4 1.6 1.8 2.0 y 54 53 55 54 56 r=0.6934 y = 50.4 + 2.50x 2) a.) Find the predicted value of y for x = 6.1 b.) Find the predicted value of y for x = 1.3 c.) Find the predicted value of y for x = 2.3