Linear Regressions

what is the formula for linear regression?

• y=mx+b

• a^2+b^2=c^2

• y1~mx1+b

• (1/2)(b)(h)

Tags

CCSS.8.EE.B.5

What type of correlation best describes the scatterplot shown.

• positive, weak

• positive, strong

• negative, weak

• no correlation

Tags

CCSS.HSF-LE.A.1B

What correlation coefficient would be describe the correlation?

• 0

• -0.999

• 0.978

• 0.2

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

If Joe worked 30 hours, how much is he expected to earn?

• $600
• $200
• $1000
• $800

Tags

CCSS.6.EE.A.2

CCSS.6.EE.B.5

CCSS.6.EE.B.6

CCSS.6.EE.B.7

CCSS.6.RP.A.2

CCSS.6.RP.A.3

What letter do we use to represent correlation coefficient?

• c
• r
• p
• h

Tags

CCSS.8.SP.A.1

CCSS.8.SP.A.2

What type of association does this graph have?

• positive
• negative
• none
• all of the above

Tags

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.8

the formula for residuals?

• observed y -predicted y

• predicted y-observed y

• observed y-predicted x

• predicted x-observed x

Tags

CCSS.HSF-LE.A.1C

The scatter plot below shows the number of books read by students in Mrs. Hall’s English class and their final grades. Which statement represents the best description about the line of best fit?

• The more books students read, the lower their English grade.

• The more books students read, the higher their English grade.

• The fewer books students read, the higher their English grade.

• No relationship exists between the number of books students read and their English grades.

Tags

CCSS.HSF.LE.B.5

What kind of trend is shown from this scatter plot?

• strong positive

• strong negative

• none

• weak positive

Tags

CCSS.HSF-LE.A.1B

Which example shows CAUSATION? (Which one CAUSED the other to happen.)

• High social media usage and reduced grades.

• Car ran out of gas and being stranded on the side of the road.

• Recess time and number of friends.

Tags

CCSS.HSS.ID.C.9