Question

Source of Variablty Degree of Freedom Sum of Square Mean Square F value P - value...

Source of Variablty

Degree of Freedom

Sum of Square

Mean Square

F value

P - value

Regression

1

0.27

0.27

18,000

0.0001

Error

22

0.33

0.0150

Total

23

0.6

Variable name

Regression Coefficient

Standard Error

T value

P - value

Constant

7.420

0.32

23.81

0

X1

0.0800

0.05

1.60

0.0600

According to the following table do you think that there exist a relationship between dependent variable (GNP) and independent variables (x1).

3.Write down the hypothesis (10 points)

4.What is your conclusion (10 points)

5.Can you make a hypothesis test for the coefficients? (40 points)

Homework Answers

Answer #1

(3) We have to test whether there is any relationship between dependent variable (GNP) and independent variables (x1)

So, it will be a two tailed hypothesis test

(4) based on the p value given in the above table, we can see that the p value is 0.06, which is greater than 0.05 significance level. So, at 0.05 significance level, we can say that there is no significant relationship between the dependent variable GNP and independent variable X1

(5)

test statistic t =

setting b1 = 0.08 and sb1 = 0.05 and beta1 = 0

we get

t statistic = (0.08-0.0)/0.05

= 1.6

and its corresponding p value is given in the table

so, p value = 0.060

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regression 109,780 3 36,593 617,763...
ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regression 109,780 3 36,593 617,763 ,030a Residual 10,722 181 ,059 Total 120,501 184 a. Predictors: (Constant), F4, F2, F3 b. Dependent Variable: F1 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) ,356 ,105 3,373 ,001 F2 -,269 ,026 -,699 -2,997 ,030 F3 ,030 ,028 ,570 2,103 ,021 F4 ,859 ,024 ,989 1,112 ,141 a. Dependent Variable: F1 a- Write down the hypothesis, p-...
Consider the following ANOVA table. ​ Source Sum Degrees Mean F of Variation of Squares of...
Consider the following ANOVA table. ​ Source Sum Degrees Mean F of Variation of Squares of Freedom Square Between Treatments 2073.6 4 Between Blocks 6000 5 1200 Error 20 288 Total 29 The test statistic to test the null hypothesis equals The null hypothesis is to be tested at the 1% level of significance. The null hypothesis should a. be rejected. b. not be rejected. c. be revised. d. not be tested. The null hypothesis is to be tested at...
Multiple R=0.81112189 R Square=0.65791872 Adj. R Square=0.61515856 Standard Error=11.6506589 Observations=10 Regression: df=1 ss=2088.497175 ms=2088.497 F=15.3863 Residual:...
Multiple R=0.81112189 R Square=0.65791872 Adj. R Square=0.61515856 Standard Error=11.6506589 Observations=10 Regression: df=1 ss=2088.497175 ms=2088.497 F=15.3863 Residual: df=8 ss=1085.902825 ms=135.7379 Total: df=9 ss=3174.4 Intercept: Coefficients=-70.39 Std. Error=30.00 P-value=0.047 X: Coefficients=17.18 Std. Error=4.38 t-stat=3.92 p value=0.004 Question: For the test of hypothesis regarding the intercept of the model, compute and report the calculated value of the test-statistic. Question: Predict value of Y, when X = 10.
Identify and interpret the F test (one paragraph): Using the p-value approach, is the null hypothesis...
Identify and interpret the F test (one paragraph): Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not? Interpret the implications of these findings for the model. SUMMARY OUTPUT Regression Statistics Multiple R 0.60 R Square 0.36 Adjusted R Square 0.26 Standard Error 9.25 Observations 30.00 ANOVA df SS MS F Significance F Regression 4.00 1212.46 303.12 3.54 0.02 Residual 25.00 2139.14 85.57 Total 29.00 3351.60 Coefficients Standard Error t...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT