In: Statistics and Probability
The data from exercise 3 follow.
xi | 2 | 6 | 9 | 13 | 20 |
yi | 7 | 18 | 9 | 26 | 23 |
The estimated regression equation is ŷ = 7.6 + .9x.
.
What is the value of the standard error of the estimate (to 4 decimals)
sample size , n = 5
here, x̅ = Σx / n= 10.00 ,
ȳ = Σy/n = 16.60
SSxx = Σ(x-x̅)² = 190.0000
SSxy= Σ(x-x̅)(y-ȳ) = 171.0
estimated slope , ß1 = SSxy/SSxx = 171.0
/ 190.000 = 0.9000
intercept, ß0 = y̅-ß1* x̄ =
7.6000
so, regression line is Ŷ =
7.6000 + 0.9000 *x
SSE= (SSxx * SSyy - SS²xy)/SSxx =
127.300
std error ,Se = √(SSE/(n-2)) =
6.5141
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What is the value of the t test statistic (to 2 decimals)?
Ho: ß1= 0
H1: ß1╪ 0
n= 5
alpha = 0.05
estimated std error of slope =Se(ß1) = Se/√Sxx =
6.514 /√ 190.00 =
0.4726
t stat = estimated slope/std error =ß1 /Se(ß1) =
0.9000 / 0.4726
= 1.90
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Degree of freedom ,df = n-2= 3
p-value = 0.1530
What is the p-value?
between .10 and .20
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What is your conclusion (α = .05)?
Cannot conclude a significant relationship exists between x
and y
Anova table | |||||
variation | SS | df | MS | F-stat | p-value |
regression | 153.900 | 1 | 153.900 | 3.63 | 0.1530 |
error, | 127.300 | 3 | 42.433 | ||
total | 281.200 | 4 |
greater than .10
Cannot conclude a significant relationship exists between x and y
thanks
revert back for doubt
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