**Tovar,Alejandro,Lab 6**

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*My research question was: Are exam averages correlated with student final exam scores?

*The explanatory variable is exam Average, and the response variable is final exam scores.

*The equation to my least-squares line is y=1.6404x-57.2155

*The correlation coefficient is .885 And the coefficient of determination is .784

*The linear model is appropriate given that our R=.885 which shows us that there is a possible strong linear relationship, since it is close to 1. The only possible outliers in this was that there were two exam scores of 0. But this is because the students simply did not show up to take the final exam, thus we can choose to remove these scores from our data as it is not helpful and can also skew our results a certain way.

*Our R squared value shows us that the strength of my least-regression line is moderately strong given that it is at around 78 and a half percent, of course it can be stronger but that is strong enough to sense and be able to see a relationship.

**Result 1: Simple Linear Regression results-Lab 6**[Info]

Simple linear regression results:
Dependent Variable: Final Exam Independent Variable: Exams Average Final Exam = -57.215454 + 1.6403615 Exams Average Sample size: 34 R (correlation coefficient) = 0.88519757 R-sq = 0.78357473 Estimate of error standard deviation: 11.342175 Parameter estimates:
Analysis of variance table for regression model:
Residuals stored in new column: Residuals |

**Result 2: Simple Linear Regression- Lab 6**[Info]

**Result 3: residuals plot-lab 6**[Info]

**Result 4: Boxplot-Lab 6**[Info]

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