In: Statistics and Probability
Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight. Find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the prediction interval, use a 95% confidence level with the altitude of 6327 ft (or 6.327 thousand feet).
Altitude Temperature
3 60
10 40
13 22
24 -5
28 -25
31 -41
33 -60
a. Find the explained variation.
b. Find the unexplained variation.
c. Use technology to construct the prediction interval.
a)
explained variation =SSR = 'Σ(Ŷ-Y̅)2 = | 11313.786 (please take care of number of decimals) |
b)
unexplained variation =SSE =Syy-(Sxy)2/Sxx= | 289.642(please take care of number of decimals) |
c)
predcited value at X=6.327: | 50.97 | |||
std error prediction interval= s*√(1+1/n+(x0-x̅)2/Sxx)= | 8.9545 | |||
for 95 % CI value of t= | 2.571 | |||
margin of error E=t*std error = | 23.018 | |||
lower prediction bound=sample mean-margin of error = | 27.947 | |||
Upper prediction bound=sample mean+margin of error= | 73.984 |
prediction interval =(27.947 , 73.984)
(please take care of number of decimals)