Respuesta :
Answer:
ANSWER Â
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 Â Â Â Â 61.52564 2.30 0.1679
Error 8 214.07436 Â Â Â Â 26.75930 Â
Corrected 9 275.60000 Â Â
Total
Root MSE     5.17294        R-Square    0.2232
Dependent Mean 89.20000    Adj R-Sq      0.1261
Coeff Var     5.79926 Â
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 Â
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.