For each pair of quantities, decide it the correlation coefticient would be close to 1, dose to -1, or not be close to 1 or-1. Part: 0/4 Part 1 of 4 (a) The length of a person's stride (stride length is the distance a person travels in a single step) and the number of steps required to walk 100 yards. The correlation coefficient would Choose one) be close to 1 be close to -1 nat be close to 1 or -1 Part: 1/4 Part 2 of 4 (b) The annual snowfall amount in a dity and the number of residents in the city. The correlation coefficient would (Choose one) Part: 2/4 Part 3 of 4 (c) The number of years of education completed and annual salary. The correlation coetticient would (Choose one) Part: 3/4 Part 4 af 4 (4) The number of years of education completed and age of the car that person dives. The corelation coefticient would (Choose ane)
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.
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