One of the two tables below shows data that can best be modeled by a linear function, and the other shows data that can best be modeled by a quadratic function. Identify which table shows the linear data and which table shows the quadratic data, and find a each model. linear function Table A x f(x) Table B x 24 33 42 1 g(x) 15 24 quadratic function Select-v --Select-- 2 3 39 60 87

Graph the functions in the grids  2y + 5 = x

Determine whether the function is linear , constant or neither  y = x3 - x2 + 8

The equation y=3x-2 describes a linear function. How does it compare to the linear function y=3x+2?

The value of a piece of machinery depreciates linearly until it has been reduced to a value of zero. The machine was valued at $4000 at the time it was acquired and 5 years later it had a value of $3000. What is the value of the machinery 8 years after it was acquired? Enter the number without the "$" sign or ",".

The number of streetlights in a  town is growing linearly. 10 months there were 70 lights. Now there are 470 lights. How many lights increase each month?

Sunny Mountain Company will make 1970 snow blowers available when the unit price is $680. At a unit price of $850, they will market 5230 snow blowers. Find the equation relating the unit price of a snow blower to the quantity supplied if the relationship is known to be linear. p(x) How many snow blowers will be marketed when the unit price is $720? (round UP to an integer) = What is the lowest price at which a snow blower will be marketed? (round UP to a whole dollar) $

A $27,000 car has a resale value of $19,000 five years after it was purchased. Assuming the value of this car depreciates linearly, estimate the value of the car 8 years after it was purchased. Enter number only; if your answer is $12,345, enter 12345.

The chart to the right shows a country's annual egg production. Model the data in the chart with a linear function, using the points (0,51.7) and (4,60.2). Let x = 0 represent 1995, x = 1 represent 1996, and so on, and let y represent the egg production (in billions). Predict egg production in 2001. How does the result compare to the actual data given in the table, 69.5? Year Egg production (in billions) 51.7 52.5 54.3 57 60.2 63.8 69.5 1995 1996 1997 1998 1999 2000 2001 The linear model for the data is (Type an equation using x as the variable. Type your answer in slope-intercept form. Use integers or decimals for any numbers in the equation. Round to the nearest thousandth as needed.)

a company had a sales of $1,330,000 in 2011 and $1,800,000 in 2015. The company's sales can be modeled by a linear equation