3-2 Mid-Chapter Flashcard B

Front

What does LSRL stand for in statistics?

Back

LSRL stands for Least Squares Regression Line, which is a method used to find the best-fitting line through a set of data points.

Front

How do you interpret the slope of a regression line?

Back

The slope of a regression line indicates the change in the dependent variable for each one-unit increase in the independent variable.

Front

In the equation 'predicted score = 93.98 - 4.07(time)', what does the number 93.98 represent?

Back

The number 93.98 represents the predicted score when the time spent online is zero.

Front

What does a negative slope in a regression line indicate about the relationship between the variables?

Back

A negative slope indicates that as the independent variable increases, the dependent variable tends to decrease.

Front

What is correlation in statistics?

Back

Correlation is a statistical measure that describes the strength and direction of a relationship between two variables.

Front

What does a weak negative correlation imply about two variables?

Back

A weak negative correlation implies that there is a slight tendency for one variable to decrease as the other variable increases, but the relationship is not strong.

Front

What is the range of correlation coefficients?

Back

The range of correlation coefficients is from -1 to 1, where -1 indicates a perfect negative correlation, 0 indicates no correlation, and 1 indicates a perfect positive correlation.

Front

What is the purpose of using a regression line in data analysis?

Back

The purpose of using a regression line is to model the relationship between variables and make predictions based on that relationship.

Front

What does it mean if the correlation coefficient is close to 0?

Back

If the correlation coefficient is close to 0, it means there is little to no linear relationship between the two variables.

Front

How can you determine the strength of a correlation?

Back

The strength of a correlation can be determined by the absolute value of the correlation coefficient; values closer to 1 or -1 indicate stronger correlations.