Using 1% & 5% alphas, test the overall significance of the model on excel.
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1. Using 1% & 5% alphas, test the overall significance of the model on excel.
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- Q13.Quantity demand of Heating Gas t=β0 - β1 Price of Heating Gas+ β2 Income per capital SUMMARY OUTPUT Regression Statistics Multiple R 0.91723906 R Square ………………….. Adjusted R Square 0.826215825 Standard Error 1.972012508 Observations ………………… ANOVA df SS MS F Regression 2 433.0140833 216.507 ………………… Residual 21 …………………. 3.888833 Total …. 514.6795833 Coefficients Standard Error t Stat P-value Intercept -2.105 2.374617513 -0.88646 0.385409797 Price of Heating Oil -0.578833333 0.104968381 -5.51436 1.79846E-05 Income Per Household 4.075 0.493003127 8.265668 4.85848E-08 Complete the (?) on table by correct number Write down the multiple regression equation. How much is the % variation in the house price that is explained by the independent…. A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…opy Clear" Delete Clipboard/Data |N=54 Intercept pindex enzyme bloodclot # Copy Down Move Screen Variables Cases Catcher ➜Go To Copy Right ▾ Find/Replace Fill Standardize Regression Summary for Dependent Variable: logsurvival (Sheet1 in data_surviv R=.90619016 R²= .82118061 Adjusted R²= .80658311 F(4.49)-56.255 p<.00000 Sid.Error of estimate: .11670 bº b 1(49) p-value Std.Err. of bº Sid. Err. of b 0.130226 0.663195 5.092654 0.000006 0.139684 0.091862 0.034628 0.022773 1.520590 0.134790 0.560623 0.068441 0.008801 0.001074 8.191352 0.000000 0.585219 0.077613 0.006989 0.000927 7.540169 0.000000 0.364904 0.085766 0.060401 0.014197 4.254645 0.000094 Summary of Stepwise Regression; DV: logsurvival (Sheet1 in data_survival) Multiple R. Variable Regressiver Sumn pindex Step Multiple Multiple R-square F-10 p-value Variables +in/-out R R-square change entr/rem included 11 0.684191 0.468118 0.468118 45.76597 0.000000 2 0.783378 0.613681 0.145564 19.21663 0.000058 3 0.868976 0.755120 0.141438…
- help please To study cockpit sound level (thevariable Noise) the following data was taken on 59plane flights: Phase (categorical variable thatdescribes the phase of the flight as climb, cruise anddescent) and Speed (airspeed in knots). To includethe categorical variable Phase in regression modelsthe indicator variables Climb and Descent wereadded to the data. A subset of the 59 observationsappear in the table to the right. To assess if Noise depends on flight phase and airspeed you use Excel to fit theregression model using Noise as the Y or dependent variable with Climb, Descent andSpeed as the independent or X variables. A portion of the Excel output appears below. a) Use the regression model to predict Noise for a flight in the Cruise phasewith a speed of 310.b) Sketch the above regression model in the Noise (Y) - Speed (X) plane.Your sketch should clearly indicate the number of lines. For each line you shouldhave a label to indicate the category and include values for the slope…. A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…A discrete variable is A qualitative variable is
- A researcher takes a sample of 150 employees of a company, the average age of company’s employees is an example of a parameter. True O False The ordinal-level data are always quantitative in nature. True O FalseUse the Manufacturing database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict Cost of Materials by Number of Employees, New Capital Expenditures, Value Added by Manufacture, and End-of-Year Inventories. Use Excel to perform a test of the overall model. Write the test statistic. Round your answer to 2 decimal places SIC Code No. Emp. No. Prod. Wkrs. Value Added by Mfg. Cost of Materials Value of Indus. Shipmnts New Cap. Exp. End Yr. Inven. Indus. Grp. 201 433 370 23518 78713 4 1833 3630 1 202 131 83 15724 42774 4 1056 3157 1 203 204 169 24506 27222 4 1405 8732 1 204 100 70 21667 37040 4 1912 3407 1 205 220 137 20712 12030 4 1006 1155 1 206 89 69 12640 13674 3 873 3613 1 207 26 18 4258 19130 3 487 1946 1 208 143 72 35210 33521 4 2011 7199 1 209 171 126 20548 19612 4 1135 3135 1 211 21 15 23442 5557 3 605 5506 2 212 3 2 287 163 1 2 42 2 213 2 2 1508 314 1 15 155 2 214 6 4 624 2622 1 27 554 2 221…A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…
- sample of trucks and their "static weight" and "weight in motion" weights are in thousands of pounds. What percent of the variability in static weight can be explained by the linear model rounded to the nearest 10th?A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below. Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter a. Dependent Variable: Delinquency b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168 a. Predictors: (Constant), Family support ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533 Total 12238.311 4532 a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…