Scatterplots Answers

The scatterplot shows because the values of y as the values of x increase.

y = x + Correlation coefficient:

There is a linear correlation between the data.

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The scatterplot shows because the values of y as the values of x increase.

Which of the following is the best approximation of the correlation coefficient for the data displayed in the scatterplot?

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

y = x + Correlation coefficient:

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?

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

y = x + Correlation coefficient:

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

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?yesno Explain your reasoning.

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