Mixed Regression Practice

A restaurant sells pizza for the prices in the data table. Calculate the linear regression equation of the data.

• y = 1.5x + 12

• y = 12x + 1.5

• y = 0.67x - 8

• y = -8x + 0.67

A person travels by car. They record their miles driven in a data table. Calculate the linear regression equation of this data.

• y = 61.93x - 1.79

• y = -1.79x + 61.93

• y = 0.016x + 0.03

• y = 0.03x + 0.016

Write the linear regression equation for the following data points. Round to the nearest tenth.

• $y=-0.83x+0.61$

• $y=-0.83x+0.63$

• $y=0.83x+-0.8$

• $a^2+b^2=c^2$

Write the linear regression equation for the following data points. Round to the nearest tenth.

• $y=-0.27x+3.93$

• $y=3.93x+-0.27$

• $y=1.25x+3.75$

• $y=0.27x+3.94$

Which of the following quadratic equations best represents the following data?

• y = 7x² - 3x

• y = 3x² - 2x + 1

• y = 6x² + 3x - 2

• y = 7x² - 3x + 1

Find the best fitting quadratic model for the data given.

• y = 1.2x² + 13x + 504.3

• y = 12x² + 13x + 504.3

• y = .12x² + 1.3x + 504.3

•  $QUADRATIC\ \ \ \ y=192x^2-16x+0$ 

•  $QUADRATIC\ \ \ \ y=-16x^2+192x+0$ 

•  $QUADRATIC\ \ \ \ y=-4.9x^2+5x+19$ 

•  $QUADRATIC\ \ \ \ y=3.37x^2-1.98x-7$ 

Find the quadratic regression.

• $f\left(x\right)=58.8x^2-4.9x+19.6$

• $f\left(x\right)=-19.6x^2-4.9x+58.8$

• 
  

  $f\left(x\right)=-4.9x^2+19.6x+58.8$
  

Find the exponential regression.

•  $y=\left(1000\right)\left(0.7\right)^x$ 

•  $y=6\left(0.3\right)^x$ 

•  $y=1\left(0.7\right)^x$ 

•  $y=1000x+0.7$ 

What is the exponential equation that matches this data set?

•  $y=3.73\left(1.03\right)^x$ 

•  $y=0.7\left(3\right)^x$ 

•  $y=1.03\left(3.73\right)^x$ 

•  $y=3.73x+1.03$