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Questions 2, 5, 8 and 9
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Questions 6, 7, 10, 11 and 12. Question 6 1 pts Select the appropriate equation for...
Questions 6, 7, 10, 11 and 12.
Question 6 1 pts Select the appropriate equation for the line of prediction from the SPSS output. Coefficients Standardized Coefficients Beta Sig. Unstandardized Coefficients Model B Std. Error 1 (Constant) 3.977 1.193 Variable 1 414 096 Variable 2 -2019 2011 a. Dependent Variable: Outcome (Y) 458 -181 t 3.333 4.313 -1.704 .001 000 ,093 O Yhat = 3.977 +4.313X1 - 1703X2 Yhat - 3.977 +0.458X, -0.181X2 Yhat = 3.333+4.313X1 - 1703X, Yhat =...
Please dont answer by hand writing and show steps clearly. Thank you Question 5 Interpret the...
Please dont answer by hand writing and show steps clearly. Thank
you
Question 5 Interpret the following computer output as stated Model Summary Adjusted Std. Error of R Square R Square the Estimate 8.70363 Model 840a 705 668 a. Predictors: (Constant), X ANOVA Sum of Squares Model df Si Mean Square 1449.974 75.753 19.141 Regression 1449.974 Residual Total 002a 606.026 2056.000 a. Predictors: (Constant), X b. Dependent Variable: Y Coefficientsa Unstandardized Coefficients Standardized Coefficients Beta Model Std. Error 8.507 175...
DESCRIPTIVE STATISTICS: Create a table of descriptive statistics with an appropriate tabular format. See the Output...
DESCRIPTIVE STATISTICS: Create a table of descriptive statistics with an appropriate tabular format. See the Output A[2 pt]. STATISTICAL RESULTS: Report and statistically interpret the results with an appropriate tabular format and text. See the Output B. [6 pt] DISCUSSION: Discuss what the results imply. [2 pt] Output A. Descriptive statistics Statistics Exam Performance (%) Exam Anxiety N Valid 103 103 Missing 0 0 Mean 56.57 74.3437 Median 60.00 79.0440 Std. Deviation 25.941 17.18186 Minimum 2 1.00 Maximum 100 100.00...
please answer all question (2-5) thanks Question 2 1 pts As the number of hours a...
please answer all question (2-5) thanks
Question 2 1 pts As the number of hours a student studies increases, the number of errors made on the exam decreases. There is a strong relationship between these variables. Select the value for the pearson correlation (r) that would be appropriate 0-0.7 0-0.4 o 0.6 o 1.0 Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha = .05). t(15) = 3.3, p = .003 Which of...
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X....
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X. If the sample correlation coefficient is 0.5 (r=0.5), and you want to test the null hypothesis that the true population correlation coefficient (rho) is equal to zero, then the test statistic associated with this null hypothesis is: o 5 04 O2 O 3 Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high...
Question 21 8 pts Based on the information in the following coefficients table: Unstandardized Standardized Coefficients...
Question 21 8 pts Based on the information in the following coefficients table: Unstandardized Standardized Coefficients Coefficients B Std. Error Beta t Sig. (Constant) 1.044 0.22 4.749 0.51 -0.131 0.047 -0.236 -2.8 0.006 Number of Distractions (d) 0.515 0.08 0.541 6.413 0.001 Hours of Sleep (s) Dependent variable: Memory Score a) Create the corresponding regression equation. b) Interpret the slope for number of distractions (use the abbreviations provided). c) Is the slope for hours of sleep significantly different from 0?...
please answer a-c Question 21 8 pts Based on the information in the following coefficients table:...
please answer a-c
Question 21 8 pts Based on the information in the following coefficients table: Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. (Constant) 1.044 0.22 4.749 0.51 -0.131 0.047 -0.236 -2.8 0.006 Number of Distractions (d) Hours of Sleep 0.515 0.08 0.541 6.413 0.001 (s) Dependent variable: Memory Score a) Create the corresponding regression equation. b) Interpret the slope for number of distractions (use the abbreviations provided). c) Is the slope for hours of sleep significantly...
please answer all question 16-20 Question 16 2 pts The population mean for a standardized test...
please answer all question 16-20
Question 16 2 pts The population mean for a standardized test is 250. A research study with N = 30 adults from Virginia had a mean score of 260, with a 95% confidence interval of the mean reported as [248, 272]. What decision should be made based on this confidence interval? o Run the hypothesis test again o Accept the research hypothesis o Reject the null hypothesis o Fail to reject the null hypothesis Question...
6. Interpreting statistical software output in regression Aa Aa Suppose you work in the admission...
6. Interpreting statistical software output in regression Aa Aa Suppose you work in the admissions department of a small liberal arts college. You wonder if you can predict students' college grade point averages (GPAs) by their SAT scores. You randomly select 50 recent graduates and collect their SAT scores and college GPAs. You use a statistical software package to run a regression predicting college GPA from SAT score. Use the following output to answer the questions that follovw Descriptive Statistics...
2 pts Question 4 In the classical regression model we maximize the sum of the squared...
2 pts Question 4 In the classical regression model we maximize the sum of the squared errors. O True False 2 pts D Question 5 The terms coefficients of determination and R-square are synonyms, measuring how well a regression model fits the data. O True False 2 pts Question 6 Student's t-statistic is calculated as the ratio of an estimated coefficient divided by its standard error. True False
Questions 6, 7, 10, 11 and 12.
Question 6 1 pts Select the appropriate equation for the line of prediction from the SPSS output. Coefficients Standardized Coefficients Beta Sig. Unstandardized Coefficients Model B Std. Error 1 (Constant) 3.977 1.193 Variable 1 414 096 Variable 2 -2019 2011 a. Dependent Variable: Outcome (Y) 458 -181 t 3.333 4.313 -1.704 .001 000 ,093 O Yhat = 3.977 +4.313X1 - 1703X2 Yhat - 3.977 +0.458X, -0.181X2 Yhat = 3.333+4.313X1 - 1703X, Yhat =...
Please dont answer by hand writing and show steps clearly. Thank
you
Question 5 Interpret the following computer output as stated Model Summary Adjusted Std. Error of R Square R Square the Estimate 8.70363 Model 840a 705 668 a. Predictors: (Constant), X ANOVA Sum of Squares Model df Si Mean Square 1449.974 75.753 19.141 Regression 1449.974 Residual Total 002a 606.026 2056.000 a. Predictors: (Constant), X b. Dependent Variable: Y Coefficientsa Unstandardized Coefficients Standardized Coefficients Beta Model Std. Error 8.507 175...
please answer all question (2-5) thanks
Question 2 1 pts As the number of hours a student studies increases, the number of errors made on the exam decreases. There is a strong relationship between these variables. Select the value for the pearson correlation (r) that would be appropriate 0-0.7 0-0.4 o 0.6 o 1.0 Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha = .05). t(15) = 3.3, p = .003 Which of...
Question 7 3 pts Suppose that you have 50 observations on the variables Y and X. If the sample correlation coefficient is 0.5 (r=0.5), and you want to test the null hypothesis that the true population correlation coefficient (rho) is equal to zero, then the test statistic associated with this null hypothesis is: o 5 04 O2 O 3 Question 8 3 pts Suppose you estimate a multiple regression model using OLS and the coefficient of determination is very high...
Question 21 8 pts Based on the information in the following coefficients table: Unstandardized Standardized Coefficients Coefficients B Std. Error Beta t Sig. (Constant) 1.044 0.22 4.749 0.51 -0.131 0.047 -0.236 -2.8 0.006 Number of Distractions (d) 0.515 0.08 0.541 6.413 0.001 Hours of Sleep (s) Dependent variable: Memory Score a) Create the corresponding regression equation. b) Interpret the slope for number of distractions (use the abbreviations provided). c) Is the slope for hours of sleep significantly different from 0?...
please answer a-c
Question 21 8 pts Based on the information in the following coefficients table: Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig. (Constant) 1.044 0.22 4.749 0.51 -0.131 0.047 -0.236 -2.8 0.006 Number of Distractions (d) Hours of Sleep 0.515 0.08 0.541 6.413 0.001 (s) Dependent variable: Memory Score a) Create the corresponding regression equation. b) Interpret the slope for number of distractions (use the abbreviations provided). c) Is the slope for hours of sleep significantly...
please answer all question 16-20
Question 16 2 pts The population mean for a standardized test is 250. A research study with N = 30 adults from Virginia had a mean score of 260, with a 95% confidence interval of the mean reported as [248, 272]. What decision should be made based on this confidence interval? o Run the hypothesis test again o Accept the research hypothesis o Reject the null hypothesis o Fail to reject the null hypothesis Question...
6. Interpreting statistical software output in regression Aa Aa Suppose you work in the admissions department of a small liberal arts college. You wonder if you can predict students' college grade point averages (GPAs) by their SAT scores. You randomly select 50 recent graduates and collect their SAT scores and college GPAs. You use a statistical software package to run a regression predicting college GPA from SAT score. Use the following output to answer the questions that follovw Descriptive Statistics...
2 pts Question 4 In the classical regression model we maximize the sum of the squared errors. O True False 2 pts D Question 5 The terms coefficients of determination and R-square are synonyms, measuring how well a regression model fits the data. O True False 2 pts Question 6 Student's t-statistic is calculated as the ratio of an estimated coefficient divided by its standard error. True False
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