Regression

--------- helps to find a numerical value expressing the relationship between variables

• Regression

• Correlation

• Random variable

• z-value

Tags

CCSS.HSS.ID.C.9

In y=mx+c,c is called as

• Gradient

• Slope

• y intercept

• None of these

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CCSS.8.EE.B.6

CCSS.8.F.A.3

In regression analysis,the variable that is been predicted is

• independent variable

• dependent variable

• usually denoted by x

• usually denoted by y

Tags

CCSS.HSF-LE.A.1B

In the regression equation y=21-3x,the slope is

• 21

• -21

• 3

• -3

If the scatter diagram is drawn the scatter points lie on a straight line then it indicates

• Skewness

• Perfect correlation

• No correlation

• None of the above

Tags

CCSS.HSS.ID.B.5

If the equation of the regression line is y=5

, then what result will you take out from it?

• The line passes through the origin

• The line passes through (5, 0)

• The line is parallel to the y-axis

• The line is parallel to the x-axis

Tags

CCSS.HSF.LE.B.5

The value of the coefficient of correlation lies between

• 0 to 1

• 0 to -1

• -1 to 1

• 1 to -1

Tags

CCSS.HSS.ID.C.8

When correlation is maximum the angle between both lines of regression is

• 0 degree

• 45 degree

• 90 degree

• 60 degree

The regression lines always intersect at their

• Median point

• Point of correlation

• Regression coeffecient

• Mean point

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CCSS.8.SP.A.2

----- indicates no relation

• -100

• -1

• 0

• 1

Tags

CCSS.HSS.ID.B.5