I need help solving this problem. Please examine the data for potential outliers and ensure it meets key assumptions for regression. From the table and charts below, please describe the following:

1)For Univariate Outliers, use z-scores and boxplots to identify any outliers in timedrs and stress.

2)Identify values with z-scores > 3.3.

3)Are the distributions approximately normal?

4) Discuss whether these values appear to be true outliers and how you would handle them such as retain, transform, or exclude, but do not remove any outliers.

Please respond in paragraph format and in APA guidelines. Thank you.

Descriptives
	timedrs_zscore	stress_zscore
N		453		453
Missing		0		0
Mean		-3.69e?17		-7.35e?17
Median		-0.358		-0.188
Standard deviation		1.00		1.00
Minimum		-0.903		-1.55
Maximum		4.95		3.42
Skewness		2.09		0.761
Std. error skewness		0.115		0.115
Kurtosis		5.08		0.240
Std. error kurtosis		0.229		0.229

density 2 timedrs zscore\f\f\f\f\f