Which of the following is true? A.The predictive power of an independent variable comes from the...
Which of the following is true?
A.The predictive power of an independent variable comes from the level of correlation that it has with the dependent variable.
B. If you have a variable with several categories like days of the week, there is no way that you can convert the categories to a quantitative variable.
C. All of the answers on this list are true. If the p-value for an independent variable is lower than 0.05, then we should discard that variable from the model.
D. Adjusted R squared is the amount of correlation between X and Y.
Homework Answers
Correct Answer:
A
A strong correlation between the independent variable and dependent variable, helps independent variable to strongly affect and predict the dependent variable and vice versa.
Add Answer to:
Which of the following is true?
A.The predictive power of an independent variable comes from the...
Which of the following is a true statement? Regression analysis and ANOVA are similar tools because they both determine if an independent variable has an effect on a quantitative dependent variable
Which of the following is a true statement? Regression analysis and ANOVA are similar tools because they both determine if an independent variable has an effect on a quantitative dependent variable, but in ANOVA the independent variable is qualitative and in Regression analysis the independent variable in quantitative. Regression analysis and ANOVA are similar tools because they both determine if a qualitative independent variable has an effect on a quantitative dependent variable. Regression analysis and ANOVA are similar tools because...
The primary factor that determines the statistical test students should use is the number of independent...
The primary factor that determines the statistical test students should use is the number of independent and dependent variables. True or False When investigating the relationship between two or more quantitative variables, chi-square is the appropriate test.True or False The Pearson correlation coefficient measures the association between two quantitative variables, distinguishing between the independent and dependent variables.True or False Multiple regression is used when there are several dependent variables and one independent quantitative variable.True or False When testing for the...
Call: formula -MoiveS8ookSales MoiveS8oxOfficeReceipts+ Moi veSProductionCosts+ MoiveSPronotionalCosts) Residuals Min 1Q Median 3 Max 4.883-2.511 -1.528 1.560 6.721 Coefficients: Estimate Std. Er...
Call: formula -MoiveS8ookSales MoiveS8oxOfficeReceipts+ Moi veSProductionCosts+ MoiveSPronotionalCosts) Residuals Min 1Q Median 3 Max 4.883-2.511 -1.528 1.560 6.721 Coefficients: Estimate Std. Error t value Pr(>ltl) 0.9996 4.7607 0.210 0.841 (Intercept) MoiveS8oxOfficeReceipts 0.3487 .2218 1.536 0.175 MoiveSProductionCosts -0.7565 1.1564 -0.654 0.537 MoiveSPromotionalCosts 2.7566 1.9605 -1.486 8.209 Residual standard error: 4.836 on 6 degrees of freedon Multiple R-squared: 0.4175, Adjusted R-squared: 0.1263 F-statistic: 1.434 on 3 and 6 DF. p-value: 8.3229 13. Given alpha 0.05, based on the output, which of the following...
What is the dependent variable in this analysis? What are the independent variables in this analysis?...
What is the dependent variable in this analysis? What are the independent variables in this analysis? Draw a diagram representing the model being tested. What are the assumptions which need to be met PRIOR to interpreting the results of the analysis? What do you conclude about the quality of the model? What do you conclude about each of the predictors? Interpret the coefficient for any significant predictors. ## ## Call: ## lm(formula = Ought_Score ~ Inherence_Bias + Ought_Score + educ...
In determining if this regression is significant, I observed the following, am I taking the correct...
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
1. Identify the formula for predicting an individual's z score on the dependent variable from their z score on the independent variable. a.) (rxy)(zy) b.) (rxy)(zx) c.) zx/zy d.) (zx)(zy) 2. Data...
1. Identify the formula for predicting an individual's z score on the dependent variable from their z score on the independent variable. a.) (rxy)(zy) b.) (rxy)(zx) c.) zx/zy d.) (zx)(zy) 2. Data from the 1993 World Almanac and Book of Facts were used to predict the life expectancy for men in a country from the life expectancy of women in that country. The resulting regression equation was Yˆ = 9.32 + 0.79(X). Using the regression equation, what would you predict...
Chapter 10 13. The further the hypothesized mean is from the actual mean the lower is...
Chapter 10 13. The further the hypothesized mean is from the actual mean the lower is the power of the test. 14. The manager of the quality department for a tire manufacturing company wants to know the average tensile strength of rubber used in making a certain brand of radial tire. She knows the population standard deviation and uses a Z test to test the null hypothesis that the mean tensile strength is 800 pounds per square inch. The calculated...
the first photo is the beginning of the question and the next photo which begins with...
the first photo is the beginning of the question and
the next photo which begins with table 2: regression....., is the
continuation of the question
The weekly Hotel bi HB) per traveller for COVID-19 mandatory qua rantine accommodation and centres are in high demand in Accra due to the limited accommodation facilities for these persons. Government may withdraw from taking care of the costs as expert say that the COVID- 19 has come to stay with us similar to other...
Design your own original study! that is, create a scenario that includes an independent and dependent variable as well as a confound variable. You can see the document (above) from your individual ass...
Design your own original study! that is, create a scenario that includes an independent and dependent variable as well as a confound variable. You can see the document (above) from your individual assignment for an example of what this should look like. example Scenario D. A researcher is interested in comparing different treatments for anxiety. She assigns participants to one of three groups. Group one will take a new anti-anxiety mediation, Group two will participate in cognitive behavioral therapy for...
6. Given that the dependent variable is SAT score, Create a regression formula from the following...
6. Given that the dependent variable is SAT score, Create a regression formula from the following output. Also, describe any concerns you have with the model. SUMMARY OUTPUT Regression Statistics - Multiple Re 0.64 R Square 0.40 Adjusted R Square 0.36 Standard Error 86.37 Observations 30.00 ANOVA df F Significance F 0.00 9.17 Regressione Residual Total 2 27 29 SS MS 136783.59 68391.79 201400.58 7459.28 338184.17 Intercept GPA- Femalee Coefficients StandardErrort Stat p-value Lower 95% 364.35 75.24 4.84 0.00 209.98...
Call: formula -MoiveS8ookSales MoiveS8oxOfficeReceipts+ Moi veSProductionCosts+ MoiveSPronotionalCosts) Residuals Min 1Q Median 3 Max 4.883-2.511 -1.528 1.560 6.721 Coefficients: Estimate Std. Error t value Pr(>ltl) 0.9996 4.7607 0.210 0.841 (Intercept) MoiveS8oxOfficeReceipts 0.3487 .2218 1.536 0.175 MoiveSProductionCosts -0.7565 1.1564 -0.654 0.537 MoiveSPromotionalCosts 2.7566 1.9605 -1.486 8.209 Residual standard error: 4.836 on 6 degrees of freedon Multiple R-squared: 0.4175, Adjusted R-squared: 0.1263 F-statistic: 1.434 on 3 and 6 DF. p-value: 8.3229 13. Given alpha 0.05, based on the output, which of the following...
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
the first photo is the beginning of the question and
the next photo which begins with table 2: regression....., is the
continuation of the question
The weekly Hotel bi HB) per traveller for COVID-19 mandatory qua rantine accommodation and centres are in high demand in Accra due to the limited accommodation facilities for these persons. Government may withdraw from taking care of the costs as expert say that the COVID- 19 has come to stay with us similar to other...
6. Given that the dependent variable is SAT score, Create a regression formula from the following output. Also, describe any concerns you have with the model. SUMMARY OUTPUT Regression Statistics - Multiple Re 0.64 R Square 0.40 Adjusted R Square 0.36 Standard Error 86.37 Observations 30.00 ANOVA df F Significance F 0.00 9.17 Regressione Residual Total 2 27 29 SS MS 136783.59 68391.79 201400.58 7459.28 338184.17 Intercept GPA- Femalee Coefficients StandardErrort Stat p-value Lower 95% 364.35 75.24 4.84 0.00 209.98...
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