Using the following information: Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df SS MS F Regression 1 12323.56 12323.56 90.0481 Residual 8 1094.842 136.8550 Total 9 13418.4 Estimate the value of Ŷ when X = 4.
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.
Using the following information:
| Coefficients | |
| Intercept | -12.8094 |
| Independent variable | 2.1794 |
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 1 | 12323.56 | 12323.56 | 90.0481 |
| Residual | 8 | 1094.842 | 136.8550 | |
| Total | 9 | 13418.4 |
Estimate the value of Ŷ when X = 4.
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