Two students have taken ten math tests in the first quarter of the school year. Joe received the following scores on these ten tests:

Melissa obtained the following ten scores:

Predict which student will get the higher score on the next test.

Two students have taken ten math tests in the first quarter of the school year. Joe received the following scores on these ten tests:

Melissa obtained the following ten scores:

Predict which student will get the higher score on the next test.

A social scientist measures the correlation between an individual's socio-economic status and highest level of education obtained. The scientists plots these points and creates the following graph.

Which of the following best describes how the variables in the graph are related to one another?

A social scientist measures the correlation between an individual's socio-economic status and highest level of education obtained. The scientists plots these points and creates the following graph.

Which of the following best describes how the variables in the graph are related to one another?

Use technology to find the least squares regression equation for the following data set.

Researchers study a group of thirty males. They collect data on their weight and the length of time it takes them to run one mile. The data was recorded in the following table:

Afterwards, the researchers plotted the point on a scatter plot and fit a trend line with an equation to the data.

Based on this data, estimate how long it will take a male that weighs 185 pounds to run a mile.

Two students have taken ten math tests in the first quarter of the school year. Joe received the following scores on these ten tests:

Melissa obtained the following ten scores:

Predict which student will get the higher score on the next test.

Two students have taken ten math tests in the first quarter of the school year. Joe received the following scores on these ten tests:

Melissa obtained the following ten scores:

Predict which student will get the higher score on the next test.

Use technology to find the least squares regression equation for the following data set.

A researcher for a motor vehicle company wants to observe the relationship between a vehicle's weight and mileage. He decides to investigate 40 vehicles and tabulates the following data.

Afterwards, he plotted the data into a scatter plot and fitted a trendline to the graph.

Which of the following is the best conclusion that can be made about the data's linearity?