The scatterplot above shows the federal-mandated minimum wage every 10 years between 1940 and 2010. A line of best fit is shown, and its equation is y = 0.096x − 0.488.What does the line of best fit predict about the increase in the minimum wage over the 70-year period?

The scatterplot above shows the profit, by month, for a new company for the first year of operation. A line of best fit is also shown. Using this line, by what dollar amount did the profit in the 8th month exceed the profit in the 13th month?

The scatterplot above shows the price, in dollars, for both cheese pizza and a veggie pizza for ten different pizzerias. The line of best fit is also shown. According to the line of best fit, which of the following is closer to the predicted increase in the price of a veggie pizza, in dollars, for every 1 dollar increase in the price of a cheese pizza?

The scatterplot above shows the height in centimeters for both the drop and bounce of eight different balls of the same type. The line of best fit for the data is also shown. According to the lines of best fit, which of the following is closest to the predicted increase in bounce height, in centimeters, for every increase of 100 centimeters in drop height?

(##KPL_SAT_PRD_PLS_C09_E01_004_Q01.png" width="80%"> The scaterplot abouve shows data collected each year after the British Parlimament enacted a mandatory seat belt law and line of beast fit to the data. Which of the following equations best represents the trend of the data shown in the figure ?

The scatterplot above shows data collected on the lengths and widths of Iris setosa petals. A line of best fit for the data is also shown. Based on the line of best fit, if the width of an Iris setosa petal is 19 millimeters, what is the predicted length, in millimeters, of the petal?

The scatterplot above shows the number of registered voters, x, and the number of people who voted in the last election, y, for seven districts in a town. A line of best fit for the data is also shown. Which of the following could be the equation of the line of best fit?

The scatterplot above shows the relationship between gas mileage, in miles per gallon, and weight , in tons, for 10 cars selected at random. The line of best fit models the gas mileage based on the weight of the car. What is the weight, in tons, of the car for which the actual gas mileage was closest to the predicted value?