Lesson 12.2 Using Regression

Lesson 12.2 Using Regression to Choose a Model & Make Predictions

Algebra II

Multiple Choice

What is the linear regression equation?

• $$y=0.075x-0.21$$

• $$y=0.093x+2.52$$

• $$y=-0.005x-32.4$$

• $$y=0.854x+0.91$$

Multiple Choice

What is the correlation coefficient r?

• $$r=0.84$$

• $$r=0.67$$

• $$r=0.919$$

• $$r=2.5$$

Multiple Choice

Use your model to predict the cost of one gallon of whole milk in 2020.

• $5.36

• $4.60

• $1.50

• $3.50

Multiple Choice

Use the exponential regression command on Desmos.

• $$y=302.50\left(0.743\right)^x$$

• $$y=118.02\left(0.999\right)^x$$

• $$y=201\left(0.543\right)^x$$

• $$y=116.01\left(0.966\right)^x$$

Multiple Choice

What type of model best fits the data?

• Linear

• Quadratic

• Exponential

Multiple Choice

Use the quadratic regression on Desmos.

• $$y=-0.621x^2+17.81x-34$$

• $$y=-0.550x^2+12.786x-40.857$$

• $$y=-0.330x^2+10.696x-34.857$$

• $$y=0.778x^2+15.71x-7.110$$

Multiple Choice

Predict the time in the evening when the temperature will be $$38\degree F.$$

• 9.73 or 9:43 a.m.

• 22.67 or 12:30 midnight

• 22.64 or 10:38 p.m.

• 16.01 or 2:00 p.m.