The presence of outlier(s) in the original data cannot significantly affect the

Question

The presence of outlier(s) in the original data cannot significantly affect the final version of the regression line, due to the averaging affect of the regression line equation. True False The null hypothesis states that there is a significant difference between the accepted value of a variable, and the findings for that variable in a statistical test. True False A Correlation Coefficient near 0 indicates little conflict between the input and output variables, and therefore corresponds to a strong correlation between the two variables. True False

Explanation / Answer

7. Ture, unless there are too many outliers, or else the line get affected

8. False, the null hypothesis is the hypothesis stating that there is no difference between the actual and the obtained value

9. False, a correlation coeff near 0 indicates that the correlation is weak

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