Nonlinear Regressions

Which type of regression model does the scatter plot appear to show?

• linear

• exponential

• quadratic

Tags

CCSS.HSS.ID.B.6

Determine the curve of best fit. Hint: view the scatter plot and check correlation coefficients to determine which is the best fit.

• y = -2.7x + 7.4

• y = 0.95x² - 2.08x - 0.75

• y = -.05x - 3.26

• y = 0.95x² + 2.08x + 0.75

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSS.ID.C.8

Which of the following is the exponential regression equation for this data?

• Y = 8.16(2.7)^X

• Y = 81.6(2.7)^X

• Y = 8.16(.27)^X

• Y = 8.16(27)^X

Tags

CCSS.HSF.LE.A.2

What is the Equation that matches this data set?

• $f\left(x\right)=\left(3.73\right)\left(1.03\right)^x$

• $f\left(x\right)=\left(0.7\right)\left(3\right)^x$

• $f\left(x\right)=\left(1.03\right)\left(3.73\right)^x$

• $f\left(x\right)=3.73x+1.03$

Tags

CCSS.HSF.LE.A.2

Use regression to predict the number of organisms after 20 hours.

• 300
• 350
• 395
• 445

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

CCSS.HSS.ID.C.8

Use regression to predict the temperature after 15 minutes.

• 100
• 92
• 83
• 64

Tags

CCSS.HSS.ID.C.7

How does the regression model predict the the number of organisms after 10 hours compared to the actual number in the table?

• Under-Predicts the number
• Over-Predicts the number
• Predicts the number perfectly

Write an logarithmic equation for the above table of data.

• y = 19.28+17.66ln(x)
• y = 19.28(17.66)^x
• y = 17.66+19.28ln(x)
• y = 19.28(17.66)^x

Tags

CCSS.HSF.LE.A.2

Write an logarithmic equation for the above table of data.

• y = 8.27(40.52)^x
• y = 40.52(8.27)^x
• y = 8.27+40.52ln(x)
• y = 40.52+8.27ln(x)

Tags

CCSS.HSF.LE.A.2

How does the regression model predict the the height after 20 years compared to the actual numbers in the table?

• Under-Predicts the height
• Over-Predicts the height
• Predicts the height perfectly