Scatterplots Answers

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y = x + Correlation coefficient:

y = x + Correlation coefficient:

y = x + Correlation coefficient:

There is a linear correlation between the data.

Each data pair shown is of the form below: (years since purchase, value of car) Based on the correlation coefficient, there is a(n) linear correlation between the data.

A set of data has a correlation coefficientr = 0.15. Is it reasonable to use the line of best fit to make predictions from the data?

The fuel efficiency of one type of car is recorded in a scatterplot where the amount of gas used, x (in gallons), is paired with the distance traveled, y (in miles), for various trips. The equation for the line of best fit for the data is y = 28x. How can the y-intercept and slope of this line be interpreted?

The scatterplot shows no correlation a positive correlation X a negative correlation

What is the best choice for the equation of the line of best fit shown?

The following data pairs represent the average temperature x (in degrees Fahrenheit) and electricity costs y (in dollars) for different homes: (65, 147), (59, 141), (71, 176), (78, 189), (82, 183), (85, 211),(88, 231), (91, 227), (84, 198), (79, 188), (63, 152), (59, 126)Which of the following values is most likely the closest to the correlation coefficient of the data?r = –1r = –0.5r = 0r = 0.5r = 1

Use the regression equation to estimate the value of the car 8 years after purchase. Round to the nearest dollar. $

because the values of y X decrease increasestay the same as the values of x increase.

What would the value of y be for a point at x = 8?

As more years go by, the prediction (extrapolation) becomes ✔ lessequally more reliable.

Which of the following is the best approximation of the correlation coefficient for the data displayed in the scatterplot? X –1–0.500.51