WSC 12MAG: Unit 3 & 4 review

WSC 12MAG: Unit 3 & 4 review

12th Grade

20 Qs

quiz-placeholder

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WSC 12MAG: Unit 3 & 4 review

WSC 12MAG: Unit 3 & 4 review

Assessment

Quiz

Mathematics

12th Grade

Hard

Created by

Aaron HIMSTEDT

Used 1+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Bivariate data involves...

two values

two variables

two data displays

two data varieties

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

It is observed that as the number of hoodies sold each month increases, the number of beanies sold also increases. Which of these statements is true?

There is a negative causation between the number of hoodies sold and the number of beanies sold each month

There is a positive causation between the number of hoodies sold and the number of beanies sold each month

There is a negative association between the number of hoodies sold and the number of beanies sold each month

There is a positive association between the number of hoodies sold and the number of beanies sold each month

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Four linear models have been developed for a data set. Identify the residual plot that indicates the developed linear model is justified.

Media Image
Media Image
Media Image
Media Image

4.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

y = 16.79x - 1146.51

y = 16.79x - 18.70

y = 0.05x + 68.33

y = 0.05x + 1.70

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A confounding variable is one that...

can only take on a certain number of values

remains constant throughout a statistical investigation

is used to predict a difference in the response variable

other than the explanatory variable, influences the response variable

6.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

Media Image

Calculate the fourth smoothed value for the 3-point moving average:

20

34

51.33

70.67

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

To deseasonalise a data point...

divide by the seasonal index

multiply by the seasonal index

add the seasonal index

subtract the seasonal index

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