If you pay more in tuition to go to a top business school, will it necessarily result in a higher probability of a job offer at graduation? Let yequalspercentage of graduates with job offers and xequalstuition cost; then fit the simple linear model, Upper E (y )equals beta 0 plus beta 1 x, to the data below. Is there sufficient evidence (at alphaequals0.05) of a positive linear relationship between y and x?

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

SourceDFSum of SquaresMean SquareF ValuePr > F

Model161.52564         61.525642.300.1679

Error8214.07436        26.75930  

Corrected 9275.60000    

Total

Root MSE        5.17294              R-Square      0.2232

Dependent Mean89.20000      Adj R-Sq          0.1261

Coeff Var         5.79926  

Parameter Estimates

Variable  DFParameter EstimateStandard Errort ValuePr > |t|

Intercept   1           9.54781                    52.55541          0.180.8604

tution   1          0.00208            0.00137          1.520.1679

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.

:

step-by-step explanation:

i would pic false cause it goes down towards negative

step-by-step explanation: