Question

ANOVA df SS Regression 1 0.72 Residual 10 62.6 Total 11 63.32 Coefficients Std Error Intercept...

ANOVA

df

SS

Regression

1

0.72

Residual

10

62.6

Total

11

63.32

Coefficients

Std Error

Intercept

14.64

146.76

No. of accounts (000)

1.99

5.87

This printout is for data relating the number of ATM withdrawals (in thousands) to the number of accounts (in thousands) at that branch. Predict the number of withdrawals if the number of accounts is 24.97 thousand. State the answer in thousands correct to two decimal places.

Homework Answers

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
ANOVA df SS Regression 1 24.011 Residual 8 67.989 Coefficients Standard Error Intercept 11.065 2.043 x...
ANOVA df SS Regression 1 24.011 Residual 8 67.989 Coefficients Standard Error Intercept 11.065 2.043 x -0.511 0.304 a. What has been the sample size for the above? b. Perform a t test and determine whether or not X and Y are related. Let α = 0.05. c. Perform an F test and determine whether or not X and Y are related. Let α = 0.05.
Using the following information: Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df SS MS F Regression...
Using the following information: Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df SS MS F Regression 1 12323.56 12323.56 90.0481 Residual 8 1094.842 136.8550 Total 9 13418.4 The regression equation is _______. Multiple Choice Ŷ = 2.1794 − 12.8094X Ŷ = −12.8094 + 2.1794X 12.8094X = 2.1794Ŷ X = −12.8094 + 2.1794 Ŷ
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.
Given the following ANOVA table Source DF SS Regression 1 1800 Residual 16 900 Total 17...
Given the following ANOVA table Source DF SS Regression 1 1800 Residual 16 900 Total 17 2700 The total variability in the Y observations that can be explained by this regression model is ______%. Round to one decimal point and do not include the % sign.
df ss MS F Regression 1 15.75 15.75 8.600682594 Residual 8 14.65 1.83125 Total 9 30.4...
df ss MS F Regression 1 15.75 15.75 8.600682594 Residual 8 14.65 1.83125 Total 9 30.4 Consider the following ANOVA table obtained as part of a simple linear regression (that includes an intercept term) analysis output: . Calculate the estimated value of standard deviation of the regression model error using the above ANOVA table. Calculate the sample variance of the response/dependent variable from the above data. This is all information I have in my question
df SS MS F Regression A 8,693.11 4,346.56 375.16 Residual 22 254.89 C Total 24 B...
df SS MS F Regression A 8,693.11 4,346.56 375.16 Residual 22 254.89 C Total 24 B Coefficients Standard Error t-stat p-value Intercept 257.74 22.82 11.29 1.27E-10 x1 -2.97 0.47 -6.31 2.37E-06 x1 0.23 0.24 0.96 0.3454 a. What is the sample regression equation? b. Interpret the slope coefficient for x1. c. Find the predicted value for y if x1 equals 25 and x2 equals 50. d. Fill in the missing values in the ANOVA table. e. Calculate the standard error...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT