atch these values of r with the accompanying scatterplots: 0.302, - 0.994, 0.994, - 0.302, and - 0.699. * Click the icon to view the scatterplots. Scatterplot 1 Scatterplot 2 Sc atch the values of r to the scatterplots. 8- catterplot 1, r= 6- 6- catterplot 2, r= catterplot 3, r= 4- > 4- -6- 2- 2+ catterplot 4, r= -8 02 0.4 0.6 0.8 02 04 06 08 0.2 0 catterplot 5, r= Scatterplot 4 Scatterplot 5 *4- 0'2 04 06 0.8 02 04 08 0.8
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.
Match the scatter plots with the given correlation values.
From the scatter plot 1, it is clear that the all of the given points are in the straight line and also the regression line is moving towards upper left from right of the x– axis it indicates that there is strong negative relationship between the variables which is indicated by –0.994
Therefore, the scatter plot 1 that matches the correlation value is –0.994.
From the scatter plot 2, it is clear that the most of the points are very close together around the straight line and also the regression line is moving towards upper left from the right of the x– axis it indicates that there is negative relationship between the variables.
Therefore, the scatter plot 2 that matches the correlation value is –0.699.
From the scatter plot 3, it is clear that the most of the points are close together around the straight line and also the regression line is moving towards upper left from the right of the x– axis it indicates that there is negative relationship between the variables.
Therefore, the scatter plot 3 that matches the correlation value is –0.302.
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