X | Y | XY | X^2 | Y^2 |
58.1 | 192 | 11155.2 | 3375.61 | 36864 |
47 | 153 | 7191 | 2209 | 23409 |
43.7 | 146 | 6380.2 | 1909.69 | 21316 |
45.1 | 162.8 | 7342.28 | 2034.01 | 26503.84 |
54.9 | 169.5 | 9305.55 | 3014.01 | 28730.25 |
n | 5 |
sum(XY) | 41374.23 |
sum(X) | 248.80 |
sum(Y) | 823.30 |
sum(X^2) | 12542.32 |
sum(Y^2) | 136823.09 |
b | 2.5 |
a | 39.7 |
ycap = a + bx
ycap = 39.7 + 2.5x
Because elderly people may have difficulty standing to have their heights measured, a study looked at...
Because elderly people may have difficulty standing to have their heights measured, a study looked at predicting overall height from the knee height. Below is the scatter plot with knee height on the x axis and overall height on the y axis (in inches). (Spts The correlation is closest to: a) 0.9 b 0.3 c)0 d)-0.6 Everyone knows you never use statistics in real life. Stop wasting my time
11 point) Because elderly people may have difficulty standing to have their height measured, a study looked at the relationship between overall height and height to the knee. Here are data (in centimeters) for five elderly men: Knee Height x 56.9 44.2 40.6 44.8 55.7 Height y 190.3 155.3 146.1 164.9 170.9 Also, 2012 () = 3.61534688231022; What is the equation of the least-squares regression line for predicting height from knee height? ANSWER: ĝ=