What is the adjusted coefficient of determination for this model, R2a��2? Round your answer to four decimal places.

A real estate builder wishes to determine how house size (House) is influenced by family income (Income) and family size (Size). House size is measured in meter square and income is measured in IDR millions. The builder randomly selected 50 families and ran the multiple regression. Partial Microsoft Excel output is provided below:   Which of the independent variables in the model are significant at the 5% level? Formulate the hypothesis and explain the answer. How far can you rely upon this model? Or, what is the percentage variation in House explained by the model? What is the predicted house size (in hundreds of square feet) for an individual earning an annual income of IDR 400 million and having a family size of 4?

Please see attached image. In analyzing the effects of an after-school reading program, you run a regression analysis with program participation as the independent variable (0 = control group; 1 = intervention group) and scores on a reading comprehension exam after the program as the dependent variable. Is the effect of the after-school reading program statistically significant? How can you tell, and what does this mean?

A colleague of yours is completing a final report on the causes of the frequency of cyberbullying.  In this report, she is asked to identify the causes that most strongly impacted the frequency of cyberbullying.  She conducts an OLS regression.  What statistic do you advise her to use in her discussion?  Why?

A student used multiple regression analysis to study how family spending (y) is influenced by income (x1), family size (x2), and additions to savings (x3). The variables y, x1, and x3 are measured in thousands of dollars. The following results were obtained. ANOVA       df SS Regression 3 45.9634 Residual 11 2.6218 Total         Coefficients Standard Error intercept 0.0136   x1 0.7992 0.074 x2 0.2280 0.190 x3 -0.5796 0.920 answer please : 1: Carry out a test to see if x3 and y are significantly related. Use a 5% level of significance.

A researcher has developed a regression model from fourteen pairs of data points. He wants to test to determine if the slope is significantly different from zero. He uses a two-tailed test and a = 0.01. The critical tablet value is 2.718 3.012 2.650 O 3.055 O 2.168

The fish in my pond have mean length 12 inches and mean weight 5 pounds.  The correlation coefficient of length and weight is .8.  If the length of a particular randomly selected fish is reported to be 12 inches, then what should we predict for the weight of that fish using simple linear regression?

The owner of a new pizzeria in town wants to study the relationship between weekly revenue and advertising expenditures. All measures are recorded in thousands of dollars. The summary output for the regression model is given below.ANOVA   dfdf SSSS MSMS F� Significance F� Regression 33 18.154037618.1540376 6.051345876.05134587 17.6080562317.60805623 4.3383E-034.3383E-03 Residual 55 1.7183457921.718345792 0.343669160.34366916     Total 88 19.8723833919.87238339         Step 2 of 3 :   What is the adjusted coefficient of determination for this model, R2a��2? Round your answer to four decimal places

Dex Research Limited conducted a research to investigate consumer characteristics that can be used to predict the amount charged by credit card users. The following multiple regression output is based on a data collected by this research company on annual income, household size and annual credit card charges for a sample if 50 consumers. Regression Statistics         Multiple R 0.9086         R Square A         Adjusted R Square 0.8181         Standard Error 398.091         Observations B                     ANOVA             df SS MS F Significance F Regression 2 C E G 1.50876E-18 Residual D 7448393 F     Total 49 42699149                                 Coefficients Standard Error t Stat P-Value   Intercept 1304.9048 197.6548 6.6019 3.28664E-08   Income ($1000s) 33.1330 3.9679 H 7.68206E-11   Household size 356.2959 33.2009 10.7315 3.12342E-14   a. Complete the missing entries from A to H in this outputb. Estimate the annual credit card charges…

A multiple regression analysis produced the following tables. Predictor Coefficients StandardErrort Statistic p-valueIntercept -139.609 2548.989 -0.05477 0.957154x 24.24619 22.25267 1.089586 0.295682x 32.10171 17.44559 1.840105 0.08869Source df SS MS F p-valueRegression 2 302689 151344.5 1.705942 0.219838Residual 13 1153309 88716.07Total 15 1455998Using = 0.01 to test the null hypothesis H :?1 = ?2 = 0, the critical F value is ____.6.701.964.845.995.70