In a regression, p value of an effect is 0.001, less than the level of significance (alpha = 0.05). This means that (choose all that apply) 0 The effect is significant
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A: The data shows the number of viewers for television stars with certain salaries.
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A: Given : Correlation coefficient = r = 0.6939
Q: A student used multiple regression analysis to study how family spending (y) is influenced by income…
A: Hi, thanks for the question. Since there are multiple subparts posted in the question, we will…
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A: From the given information, Total observation (n) =45 Standard error of the estimate (SSE) =0.438…
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A: Given r=-0.3700
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A: Given, n = 25 r = -0.50 SSX = 38 SSY = 14
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A: The regression equation is y=3.134x+61.328.
Q: A student used multiple regression analysis to study how family spending (y) is influenced by income…
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A: Given: The regression equation is: y = -3.412x + 10.106 Correlation coefficient (r) = -0.793
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A: Use EXCEL to construct the sample regression equation. EXCEL procedure: Go to EXCEL Go to…
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Q: = 62.3 and y = 61.8, You run a regression analysis on a bivariate set of data (n = 81). With a you…
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Q: A researcher finds a significant positive correlation of r = .63 between the amount of time spent…
A: A researcher finds a significant positive correlation of r = .63 between the amount of time spent…
Q: Please also explain why you determined whether or not the results are statistically significant. A…
A: From the given information we find the solution.
Q: You run a regression analysis on a bivariate set of data (n 71). You obtain the regression equation…
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Q: mean of M = 580 with SS = 22,400, and the GPAs have a mean of 3.10 with SS = 1.26, and SP = 84.…
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Q: Which of the following is NOT a plot of residuals typically used in multiple regression analysis…
A: Answer :- Which of the following is NOT a plot of residuals typically used in multiple regression…
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A: The data set is given below : X Y 75.9 42.1 82.2 42.2 75.2 42.5 82.2 42.2…
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Q: A professor obtains SAT scores and freshman grade point averages (GPA) for a group of n=15 college…
A: Number of data point (n) =15 Average for SAT score (M)=580 Sum of square for SAT scores (SS)=22400…
Q: A student used multiple regression analysis to study how family spending (y) is influenced by income…
A: Hey, since there are multiple subparts posted, we will answer first three subparts. If you want any…
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A: Correlation: The extent linear relation between the two variables is called as correlation. Positive…
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A: The regression equation is y=-3.546x-4.393.
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Q: Given Coefficient = 40 Standard Error of the Coefficient = 8 What is the Lower Bound of the 95%…
A: coefficient = 40standard error of coefficient ( SE ) = 8confidence level = 95 %so
Q: A student used multiple regression analysis to study how family spending (y) is influenced by income…
A:
Q: A professor obtains SAT scores and freshman grade point averages (GPAs) for a group of n=15 college…
A: Given: n = 15 Mx = 580 My = 3.10 SSx = 22400 SSy = 1.26 SSxy = 84 ∝ = 0.05 Part a: We compute the…
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- A Bivariate Regression was conducted to evaluate the predictive relationship between total years of schooling and annual income. The results of the regression model were F(1,88) = 4.1, p < .05. What can be concluded about these results? Group of answer choices total years of schooling is a significant predictor of annual income. total years of schooling is not a significant predictor of annual income.Please do not give solution in image formate thanku. i am stuck on this question.. You run a regression analysis on a bivariate set of data ( n = 34 ). You obtain the regression equation y = - 2.112 x + 59.334 with a correlation coefficient of r = - 0.878 (which is significant at α = 0.01 ). You want to predict what value (on average) for the explanatory variable will give you a value of 70 on the response variable. What is the predicted explanatory value? x = (Report answer accurate to one decimal place.)You run a regression analysis on a bivariate set of data (n = 51). You obtain the regression equation y=-4.028r+-18.476 with a correlation coefficient of r=-0.91 (which is significant at a = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 170 on the response variable. What is the predicted explanatory value? X = (report 3 decimals)
- You run a regression analysis on a bivariate set of data (n=109). With x¯=72.2 and y¯=34.7, you obtain the regression equation y= - 0.898x - 42.514 with a correlation coefficient of r=-0.086. You want to predict what value (on average) for the response variable will be obtained from a value of 140 as the explanatory variable. What is the predicted response value? y =(f)Based on your output (results), what is the correlation between weight and height? (g)Is there a statistically significant linear relationship between weight and height? Report both the t-test and F-test results for this(include the test statistics, df, p-value, and conclusion).Exercise 6. Regression Fallacy. Historically, scores on the two midterms had a correlation of 0.48. Suppose that Jeri scored 2.1 standard deviations below the mean on the first midterm. (a) How many standard deviations [above or below?] the mean would you predict for her second midterm?
- In running a regression of the retunrs of stock XYZ against the returns on the market, the Std for the returns of stock XYZ is 20% and that of the market returns is 15%. If the estimated beta is found to be 0.75 : What is the correlation between the returns of the stock XYZ and those of the market ?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 Write out the estimated regression equation for the relationship between the variables. Compute coefficient of determination. What can you say about the strength of this relationship? Carry out a test to determine whether y is…The regression output is reported in Table 4. Why does Stata omit hhsize3? Would it make any difference if Stata omitted hhsize3 instead of hhsize1?
- The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $6 million. Is the result close to the actual number of viewers, 8.9 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) Click the icon to view the critical values of the Pearson correlation coefficient r. 98 3.5 3 7 13 12 13 10 2 6.8 6.3 10.2 8.5 4.4 1.8 2.7 What is the regression equation? y=+x (Round to three decimal places as needed.) What is the best predicted number of viewers for a television star with a salary of $6 million? The best predicted number of viewers for a television star with a salary of $6 million is million. (Round to one decimal place as needed.) Is the result close to the actual number of viewers, 8.9 million? O A. The result is very close to the actual number of viewers of 8.9 million. O B. The…You run a regression analysis on a bivariate set of data (n = 120). With i = 66.3 and y = 50.6, you obtain the regression equation y = 4.097x – 11.636 with a correlation coefficient of r = 0.56. You want to predict what value (on average) for the response variable will be obtained from a value of 120 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)You run a regression analysis on a bivariate set of data (n = 65). With x = 70.4 and y = 53.2, you obtain the regression equation 1.864x 1.645 y = 0.121. You want to predict what value (on average) for the with a correlation coefficient of r - response variable will be obtained from a value of 160 as the explanatory variable. What is the predicted response value? %3D (Report answer accurate to one decimal place.) Submit Question « Previous