A)regression equation B) P- Value
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
A)regression equation
B) P- Value
 alt="Like father, like son: In 1906, the statistician Karl Pearson measured the heights of 1078 pairs of fathers and sons. The
following table presents a sample of 8 pairs, with height measured in inches, simulated from the distribution specified by Pearson.
E
Father's Son's
height height
70.8
69.8
65.4
66.0
65.7
70.9
68.3
69.1
72.4
69.1
65.7
65.3
69.1
71.8
70.7
71.0
Send data to Excel
Use the P-value method to test H, : B, = 0 versus H, : B, +0. Can you conclude that father's height is useful in predicting son's
height? Use the a = 0.10 level of significance and the TI-84 calculator.
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