Use the following ANOVA table for regression to answer the questions. Response: Y Source DF Sum Sq Mean Sq F-value Pr(>F) Regression 1 358.57 358.57 13.05 0.000 Residual Error 359 9865.32 27.48     Total                     360    10223.89   The -statistic is ______. The -value is _______.   Choose the conclusion of this test using a 5% significance level. Do not reject H0. We did not find evidence that the model is not effective. Do not reject H0. We did not find evidence that the model is effective. . Reject H0. The model is not effective. . Reject H0.The model is effective.

What is the variance and standard deviation of the scores for my first test? Use formulas and show work.  Scores: 96929088878482807976726855

%#3 For the standard normal curve, find the z-score that corresponds to the first quartile. Click here to view page 1 of the standard normal table. Click here to view page 2 of the standard normal table. O A. -0.67 O B. -0.23 O C. 0.77 OD. 0.67 Type here to search 直 0 F5 F4 FE 2 %23 4.

only HANDWRITTEN answer needed ( NOT TYPED)

Q9 Please answer fill-ins.

APPLIED STATISTICS (MULTIPLE REGRESSION) UPVOTE WILL BE GIVEN. PLEASE ANSWER THE PROBLEM BY USING SPSS OR EXCEL ONLY (NOT HANDWRITTEN). NO LONG EXPLANATION NEEDED. TAKE A SCREENSHOTS AND ANSWER THE QUESTION IN SENTENCES. a. Identify the dependent/s and independent variable then estimate the multiple regression equation. b. What is the r-squared value and what is its implication? c. What variable/s are considered significant? What is the p-value?

please answer in text form and in proper format answer with must explanation , calculation for each part and steps clearly

Which one of the following numbers for the standard error of estimate would indicate the best regression fit? 100 50 1000 10

J  1

You may need to use the appropriate technology to answer this question. Following is a portion of the computer output for a regression analysis relating y = maintenance expense (dollars per month) to x = usage (hours per week) of a particular brand of computer terminal. Analysis of Variance SOURCE DF Adj SS Adj MS Regression 1 1575.76 1575.76 Error 8 349.14 43.64 Total 9 1924.90   Predictor Coef SE Coef Constant 6.1092 0.9361 X 0.8951 0.1490 Regression Equation Y = 6.1092 + 0.8951 X   #1) Write the estimated regression equation. ŷ =   #2) Find the value of the test statistic. (Round your answer to two decimal places.)Find the p-value. (Round your answer to three decimal places.) #3)Use the estimated regression equation to predict monthly maintenance expense (in dollars per month) for any terminal that is used 15 hoursper week. (Round your answer to the nearest cent.) $ _____per month