Scatter Plots Linear Regression

Scatter Plots Linear Regression

1st Grade

20 Qs

quiz-placeholder

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Scatter Plots Linear Regression

Scatter Plots Linear Regression

Assessment

Quiz

Mathematics

1st Grade

Hard

Created by

Barbara White

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image
What is the correlation between length of running start and distance of jump?
positive:  the further you run the further you jump
negative: the less you run the less distance of your jump
positive: the further your running start the less your distance

2.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Media Image
Make a prediction for a resting heart rate after 6 hours of exercise a week.
6
50
55
59

3.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Media Image
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. 

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image
Which scatter plot shows no relationship?
Graph A
Graph B
Graph C
Graph D

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image
Describe the correlation in the graph shown.
Strong Negative
Strong Positive
Weak Negative
Weak Positive

6.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Media Image
The linear regression equation for the data is  y = 1.5x + 12.  Interpret the slope of the equation.
The slope is (0, 1.5).  It means that a pizza with 0 toppings will cost $1.50.
The slope is 1.5.  It means that it costs $1.50 per topping.
There are 1.5 toppings.
There are 1.5 pizzas.

7.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Data was collected on the weight of a male  laboratory rat for the first 25 weeks after its birth. The linear regression equation is 
y= 40x+100, where x is number of weeks and y is weight in grams. 
What does the y-intercept mean in context of the problem?
The predicted weight of the rat in year 0. 
The predicted weight of the rat at birth. 
The current weight of the rat. 
The average increase in the rat's weight. 

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