Charismatic Condition
Charismatic Condition Mean 4.204081633
Standard Error 0.097501055
Median 4.2
Mode 4.8
Standard Deviation 0.682507382
Sample Variance 0.465816327
Kurtosis 5.335286065
Skewness -1.916441174
Range 3.5
Minimum 1.5
Maximum 5
Sum 206
Count 49
Confidence Level(95.0%) 0.196039006
In both the Charismatic and the punitive condition data sets there were 49 people surveyed. We know this because we were able to use descriptive statistics to show the count and that shows the number of people surveyed. The average or the mean of the charismatic condition is 4.20. The standard error is saying that 0.0975 % is the error that will normally occur if two different people are comparing results. The middle value or the median of the data …show more content…
This bar graph will show you the values of the scores starting at 1.5 and going up to 5. The frequency shows us the number of students who picked the …show more content…
The F critical value came out to be 3.940163.
SUMMARY OUTPUT Regression Statistics
Multiple R 0.469240951
R Square 0.22018707
Adjusted R Square 0.203595306
Standard Error 0.609079887
Observations 49 ANOVA df SS MS F Significance F
Regression 1 4.923203145 4.923203145 13.27086523 0.00067102
Residual 47 17.43598053 0.370978309
Total 48 22.35918367 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 3.191128371 0.291356828 10.95264658 1.56617E-14 2.604994045 3.777262697 2.604994045 3.777262697
Punitive Condition 0.360717368 0.099018749 3.642919877 0.00067102 0.161517343 0.559917393 0.161517343 0.559917393
After taking the data of the 49 students I was able to come up with a regression analysis. The multiple R value came out to be 0.469240951 and the R square value is 0.22018707. The adjusted R squared value was figured to be 0.203595306. The obvious standard error was
Standard Error 0.097501055
Median 4.2
Mode 4.8
Standard Deviation 0.682507382
Sample Variance 0.465816327
Kurtosis 5.335286065
Skewness -1.916441174
Range 3.5
Minimum 1.5
Maximum 5
Sum 206
Count 49
Confidence Level(95.0%) 0.196039006
In both the Charismatic and the punitive condition data sets there were 49 people surveyed. We know this because we were able to use descriptive statistics to show the count and that shows the number of people surveyed. The average or the mean of the charismatic condition is 4.20. The standard error is saying that 0.0975 % is the error that will normally occur if two different people are comparing results. The middle value or the median of the data …show more content…
This bar graph will show you the values of the scores starting at 1.5 and going up to 5. The frequency shows us the number of students who picked the …show more content…
The F critical value came out to be 3.940163.
SUMMARY OUTPUT Regression Statistics
Multiple R 0.469240951
R Square 0.22018707
Adjusted R Square 0.203595306
Standard Error 0.609079887
Observations 49 ANOVA df SS MS F Significance F
Regression 1 4.923203145 4.923203145 13.27086523 0.00067102
Residual 47 17.43598053 0.370978309
Total 48 22.35918367 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 3.191128371 0.291356828 10.95264658 1.56617E-14 2.604994045 3.777262697 2.604994045 3.777262697
Punitive Condition 0.360717368 0.099018749 3.642919877 0.00067102 0.161517343 0.559917393 0.161517343 0.559917393
After taking the data of the 49 students I was able to come up with a regression analysis. The multiple R value came out to be 0.469240951 and the R square value is 0.22018707. The adjusted R squared value was figured to be 0.203595306. The obvious standard error was