The given data represent the total compensation for 10 randomly selected CEOS and their company's stock performance in 2009. Analysis of this data reveals a corelation coefficient of r-0.2247. What would be the predicted stock return for a company whose CEO made $15 million? What would be the predicted stock return for a company whose CEO made $25 million? Click the icon to view the compensation and stock performance data. Click the icon to view a table of critical values for the correlation coefficient. O Reference X hpensatice and Stock Performance What would be the predicted stock return for a company whose CEO made $15 million? |% (Type an integer or decimal rounded to one decimal place as needed) Compensation (millions of dollars) Return () 26.21 1203 19.17 12.97 12.33 11.75 26.53 Stock Critical Values for Correlation Coefficient What would be the predicted stock return for a company whose CEO made $25 million? 5.95 30 89 % (Type an integer or decimal rounded to one decimal place as needed.) 3. 0.997 31.41 7987 4 0.950 -865 5. 0.878 262 6. 0811 4.92 11.08 382 17 0.754 14 62 17 57 1387 8. 0.707 11.28 0.666 0.632 10 Print Done 11 0.602 Enter your answer in each of the answer boxes. 0.576 12

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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.