For each pair of quantities, decide if the correlation coefficient would be dose to 1, dose to -1, or not be dose to 1 or -1. Part: 0/ 4 Part 1 of 4 (a) The number of years of education completed and age of the car that person drives. The correlation coefficient would not be dose to 1 or -1 ▼ Part: 1/4 Part 2 of 4 (b) 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 be dose to -1 Part: 2/4 Part 3 of 4 (c) The annual snowfall amount in a city and the number of residents in the city. The correlation coefficient would be dose to -1 Part: 3/4 Part 4 of 4 (d) The number years of education completed and annual salary. The correlation coefficient would be dose to -1

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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.