Answer:
ANSWER
a. the test statistic t = (1.52 )
b. the p-value. p-value.= ( 0.1679 )
c. since p-value=0.1619 is more than the level of significance alpha=0.1 so
Don’t reject H0.Theren is insufficient evidence that there exists a positive linear relationship between y and x.
Step-by-step explanation:
the linear model fitting analysis is given as
here null hypothesis H0:β1=0 and alternative hypotheis H1:β1≠0
Analysis of Variance
Source DF Sum of Squares Mean Square F Value Pr > F
Model 1 61.52564 61.52564 2.30 0.1679
Error 8 214.07436 26.75930
Corrected 9 275.60000
Total
Root MSE 5.17294 R-Square 0.2232
Dependent Mean 89.20000 Adj R-Sq 0.1261
Coeff Var 5.79926
Parameter Estimates
Variable DF Parameter Estimate Standard Error t Value Pr > |t|
Intercept 1 9.54781 52.55541 0.18 0.8604
tution 1 0.00208 0.00137 1.52 0.1679
ANSWER
a. the test statistic t = (1.52 )
b. the p-value. p-value.= ( 0.1679 )
c. since p-value=0.1619 is more than the level of significance alpha=0.1 so
Don’t reject H0.Theren is insufficient evidence that there exists a positive linear relationship between y and x.