Significance level of 0.05, test whether the slope of the regression line is negative. Form a 95% confidence interval on...
Significance level of 0.05, test whether the slope of the regression line is negative. Form a 95% confidence interval on the slope of the line.
The regression equation is, Y = 6.0 - 0.7x
predictor coef stdev t-ratio
constant 6.0 2.558 2.32
X -0.7 0.086 -8.28
ANOVA
source df ss ms F
regression 1 648.12 648.12 68.58
error 6 56.72 9.45
total 7 704.84
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Significance level of 0.05, test whether the slope of the regression line is negative. Form a 95% confidence interval on...
Significance level of 0.05, test whether the slope of the regression line is negative. The regression...
Significance level of 0.05, test whether the slope of the regression line is negative. The regression equation is, Y = 6.0 - 0.7x predictor coef stdev t-ratio constant 6.0 2.558 2.32 X -0.7 0.086 -8.28 ANOVA source df ss ms F regression 1 648.12 648.12 68.58 error 6 56.72 9.45 total 7 704.84
Given the following and a significance level of 0.05, test for a slope of zero. The...
Given the following and a significance level of 0.05, test for a slope of zero. The regression equation is Y = 5.3 + 0.175 X Predictor Coef SE Coef T Constant 5.3218 0.1845 28.84 X +0.17499 0.01865 +9.38 Analysis of Variance Source DF SS MS F Regression 1 11.691 11.691 88.00 Error 10 1.329 0.133 Total 11 13.020
Construct a 95% confidence interval estimate of the population slope of sales with quality and state...
Construct a 95% confidence interval estimate of the population
slope of sales with quality and state weather quality is a
significant factor
1) Please find the partially completed multiple regression analysis below, which explores the relationship betwen the sales (in hundreds) and the independent variables price(in dollars), promotional expenditure(in hundreds of dollars) and the quality score (0-100) for a very popular Cbristmas season toy The regression equation is Sales -3432-0.23 Price + 2.7" Promotional exp + 0.22 Quality Predictor Constant...
Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance...
Based on the ANOVA table given, is there enough evidence at the 0.05 level of significance to conclude that the linear relationship between the independent variables and the dependent variable is statistically significant? ANOVA Source df SS MS F Significance F Regression 33 334.126370334.126370 111.375457111.375457 0.7082900.708290 0.5813510.581351 Residual 66 943.473630943.473630 157.245605157.245605 Total 99 1277.6000001277.600000 Yes or No?
(10 points) The following regression output is available. Notice that some of the values are missing....
(10 points) The following regression output is
available. Notice that some of the values are missing.
Predictor Coef SE
Coef T P
Constant 5.932 2.558 2.320 0.068
x 0.511 6.083 0.001
Analysis of Variance
Source DF SS MS F P
Regression 648.72 648.72 57.20 0.001
Residual
Error 56.70
Total 16 705.43
Based on the information given, what is the value of sum of
squares of the X’s (SSxx)?
7626.92
23.142
535.591
None of the above
1. (10 points) Consider the following partially completed computer printout for a regression analysis Based on the information provided, which of the following statements is true at a...
Based on the anova presented perform the overall f test and state if the regression is...
Based on the anova presented perform the overall f test and state
if the regression is significant a=.05
1) Please find the partially completed multiple regression analysis below, which explores the relationship betwen the sales (in hundreds) and the independent variables price(in dollars), promotional expenditure(in hundreds of dollars) and the quality score (0-100) for a very popular Cbristmas season toy The regression equation is Sales -3432-0.23 Price + 2.7" Promotional exp + 0.22 Quality Predictor Constant Price Promotional exp 2.704...
7,10,11 Based on the following regression output, what is the equation of the regression line? Regression...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
Need help with this please. A publisher is studying the effectiveness of advertising to sell a...
Need help with this please.
A publisher is studying the effectiveness of advertising to sell a woman's magazine. She wishes to investigate the relationship between the number of magazines sold (10,000's), the "reach" (proportion of the population who see at least one advertisement for the magazine), and the average income of the target market ($1,000's). The publisher suspects people at certain income levels might be more susceptible to this advertising campaign than others. Preliminary studies show there is no evidence...
The following output is regression of hourly EARNINGS ON HEIGHT a. Create a 99% confidence interval...
The following output is regression of hourly EARNINGS ON HEIGHT a. Create a 99% confidence interval for the slope coufficient and interpretit D. is the slope cofficient on HEIGHT statistically significant at a level of significance of 197. Years of schooling Salso acts EARNINGS but has not been added to the regression. Where does the effect of Soccur in this regression output? SUMMARY OUTPUT Regression Statistics Multiple R 0.241124399 R Square 0.058140976 Adjusted R Square 0.056390309 Standard Error 15.96556082 Observations...
IN THE BELOW REGRESSION MODEL, FULLY INTERPRET THE REGRESSION (SLOPE) COEFFICIENTS AND COMMENT ON THEIR STATISTICAL...
IN THE BELOW REGRESSION MODEL, FULLY INTERPRET THE REGRESSION (SLOPE) COEFFICIENTS AND COMMENT ON THEIR STATISTICAL SIGNIFICANCE. IN DISCUSSING STATISTICAL SIGNIFICANCE OF A REGRESSION COEFFICIENT, YOU HAVE TO JUSTIFY YOUR CHOICE OF A ONE OR TWO TAIL TEST. SUMMARY OUTPUT Regression Statistics Multiple R 0.48457333 R Square 0.23481131 Adjusted R Square 0.21365402 Standard Error 1.18083028 Observations 224 ANOVA df SS MS F Significance F Regression 6 92.8506974 15.4751162 11.0983638 8.6676E-11 Residual 217 302.576153 1.39436015 Total 223 395.42685 Coefficients Standard Error...
Construct a 95% confidence interval estimate of the population
slope of sales with quality and state weather quality is a
significant factor
1) Please find the partially completed multiple regression analysis below, which explores the relationship betwen the sales (in hundreds) and the independent variables price(in dollars), promotional expenditure(in hundreds of dollars) and the quality score (0-100) for a very popular Cbristmas season toy The regression equation is Sales -3432-0.23 Price + 2.7" Promotional exp + 0.22 Quality Predictor Constant...
(10 points) The following regression output is
available. Notice that some of the values are missing.
Predictor Coef SE
Coef T P
Constant 5.932 2.558 2.320 0.068
x 0.511 6.083 0.001
Analysis of Variance
Source DF SS MS F P
Regression 648.72 648.72 57.20 0.001
Residual
Error 56.70
Total 16 705.43
Based on the information given, what is the value of sum of
squares of the X’s (SSxx)?
7626.92
23.142
535.591
None of the above
1. (10 points) Consider the following partially completed computer printout for a regression analysis Based on the information provided, which of the following statements is true at a...
Based on the anova presented perform the overall f test and state
if the regression is significant a=.05
1) Please find the partially completed multiple regression analysis below, which explores the relationship betwen the sales (in hundreds) and the independent variables price(in dollars), promotional expenditure(in hundreds of dollars) and the quality score (0-100) for a very popular Cbristmas season toy The regression equation is Sales -3432-0.23 Price + 2.7" Promotional exp + 0.22 Quality Predictor Constant Price Promotional exp 2.704...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
Need help with this please.
A publisher is studying the effectiveness of advertising to sell a woman's magazine. She wishes to investigate the relationship between the number of magazines sold (10,000's), the "reach" (proportion of the population who see at least one advertisement for the magazine), and the average income of the target market ($1,000's). The publisher suspects people at certain income levels might be more susceptible to this advertising campaign than others. Preliminary studies show there is no evidence...
The following output is regression of hourly EARNINGS ON HEIGHT a. Create a 99% confidence interval for the slope coufficient and interpretit D. is the slope cofficient on HEIGHT statistically significant at a level of significance of 197. Years of schooling Salso acts EARNINGS but has not been added to the regression. Where does the effect of Soccur in this regression output? SUMMARY OUTPUT Regression Statistics Multiple R 0.241124399 R Square 0.058140976 Adjusted R Square 0.056390309 Standard Error 15.96556082 Observations...
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