Front

What is a line of best fit?

Back

A line of best fit is a straight line that best represents the data on a scatter plot. It shows the trend of the data points and can be used to make predictions.

Front

How do you calculate the slope of a line of best fit?

Back

The slope (m) of a line of best fit can be calculated using the formula m = (y2 - y1) / (x2 - x1) for two points (x1, y1) and (x2, y2) on the line.

Front

What does the y-intercept represent in a line of best fit?

Back

The y-intercept is the point where the line crosses the y-axis. It represents the value of y when x is 0.

Front

What is the general form of a linear equation?

Back

The general form of a linear equation is y = mx + b, where m is the slope and b is the y-intercept.

Front

What is the purpose of finding a line of best fit?

Back

The purpose of finding a line of best fit is to summarize the relationship between two variables and to make predictions based on that relationship.

Front

What is the difference between positive and negative slope?

Back

A positive slope indicates that as x increases, y also increases. A negative slope indicates that as x increases, y decreases.

Front

How can you visually identify a line of best fit on a scatter plot?

Back

A line of best fit can be visually identified as a straight line that minimizes the distance between itself and all the data points on the scatter plot.

Front

What is the significance of the correlation coefficient in relation to the line of best fit?

Back

The correlation coefficient (r) measures the strength and direction of a linear relationship between two variables. Values close to 1 or -1 indicate a strong relationship.

Front

What does it mean if the line of best fit has a slope of 0?

Back

If the line of best fit has a slope of 0, it means there is no relationship between the variables; the y-value remains constant regardless of the x-value.

Front

How do outliers affect the line of best fit?

Back

Outliers can significantly affect the line of best fit by skewing the slope and y-intercept, leading to inaccurate predictions.