In: Statistics and Probability
Consider the following problem involving linear correlation and linear regression:
How much should a healthy calf weigh? The following are taken from The Merck Veterinary Manual. x is the age in weeks and y is the weight of a normal, healthy calf in kilograms.
x | 1 | 3 | 10 | 16 | 26 | 36 |
y | 42 | 50 | 75 | 100 | 150 | 200 |
Which of the following would be the correct equation of the regression line? enter a capital letter, no space, no period
A. y = - 4.5 x - 33.7 B. y = 33.7 x - 4.5 C. y= 33.7 x + 4.5 D. y = 4.5 x + 33.7
Which of the following is the linear correlation coefficient? enter a capital letter, no space, no period
A. - 0.998 B. - 0.995 C. 0.995 D. 0.998
Which of the following is the coefficient of determination? enter a capital letter, no space, no period
A. - 0.998 B. - 0.995 C. 0.995 D. 0.998
If a calf is x = 20 weeks old, normal, and healthy, how much should it weigh? enter a capital letter, no space, no period
A. 124 kg B. 126 kg C. 128 kg D. 130 kg
Solution;-
=> option D. y = 4.5 x + 33.7
=> option D. 0.998
=> option C.0.995
Explanation = 0.9977^2 = 0.995
=> option A. 124
Explanation : y = 4.5 x + 33.7 = y = (4.5*20) + 33.7 = 123.7 = 124