Construct a residual plot. EEBE 167 16 167 167 12 12 12 12 8 4 -4 -4 -4 %3. -4 -8 -8 -8. -8 -12 -12 -12 -12 -16 -16 -16 -16 4 6 8 10 12 14 6 8 10 12 14 6 8 10 12 14 4 6 8 10 12 14 4 Years of Experience Years of Experience Years of Experience Years of Experience O Do the assumptions about the error terms seem reasonable in light of the residual plot? O The plot suggests a funnel pattern in the residuals indicating that the error term assumptions do not appear reasonable. O The plot suggests a funnel pattern in the residuals indicating that the error term assumptions appear reasonable. O The plot suggests a generally horizontal band of residual points indicating that the error term assumptions do not appear reasonable. O The plot suggests curvature in the residuals indicating that the error term assumptions appear reasonable. O The plot suggests a generally horizontal band of residual points indicating that the error term assumptions appear reasonable.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.


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