The data in the table represents the predicted price of a gallon of milk, y, for number of years, x.

The conditional relative frequency table was generated using data that compares the favorite subjects of male and female students at a high school. The survey was given to 120 male students and 180 female students.

The end of a hose was resting on the ground, pointing up an angle. Sal measured the path of the water coming out of the hose and found that it could be modeled using the equation f(x) = –0.3x2 + 2x, where f(x) is the height of the path of the water above the ground, in feet, and x is the horizontal distance of the path of the water from the end of the hose, in feet.
The table shows the average number of hours of daylight per day for the last four months of the year.

A graph shows the horizontal axis numbered 1 to 5 and the vertical axis numbered 1 to 5. Points and a line show a downward trend.

The table shows the height of a candle as it is continuously burned.

Jace gathered the data in the table. He found the approximate line of best fit to be y = –0.7x + 2.36.
Consider the plot created from the residuals of a line of best fit for a set of data.
The table shows the shoe sizes of women of different ages.

A graph with both axes numbered 1 to 10. A line increases from 1 to 3 then decreases from 3 to 5.

Which statements are true about the table? Select three options.
The conditional relative frequency table below was generated by column using data comparing gender and a person's favorite meal to cook.Which would most likely indicate an association between the categorical variables?

Which best describes the strength of the model with an r-value of –0.93?
Find the residual values, and use the graphing calculator tool to make a residual plot.
Which statements are true about the residual plot and the equation for the line of best fit for the data? Select two options..
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