In: Statistics and Probability
For the data set shown below.
x y
3 4
4 5
5 8
7 12
8 15
Find the estimates of β0 and β1.
β0≈b0=-3.256
(Round to three decimal places as needed.)
β1≈b1=2.233
(Round to three decimal places as needed.)
(b) Compute the standard error, the point estimate for σ.
Se=0.5972
(Round to four decimal places as needed.)
(c) Assuming the residuals are normally distributed, determine sb1.
sb1=0.144
(Round to three decimal places as needed.)
(d) Assuming the residuals are normally distributed, test H0: β1=0 versus H1: β1≠0 at the α=0.05 level of significance. Use the P-value approach.
The P-value for this test is
__?__.
(Round to three decimal places as needed.)
Using Excel , Data -----> Data Analysis ----> Regression.
Output :
a ) Estimate of = b0 = - 3.256
Estimate of = b1 = 2.233
b ) Standard Error = Se = 0.5972
c) Standard Error for the slope = Sb1 = 0.144
d )
Hypothesis :
The P-value for this test is 0.001
Decision about null hypothesis :
Rule : Reject null hypothesis if p-value less than level of significance = 0.05
It is observed that the p-value ( 0.001 ) is less then level of significance ( = 0.05 )
So, Reject Null hypothesis ( )