Skill: S.ID.6 Summarize, represent, and interpret bivariate quantitative data
The weight of a female golden retriever puppy was collected during the first 12 days after birth and recorded in the table below. Create a scatterplot for this data on your calculator and then answer the following questions.
Question 1
1.
What is the LSRL? (Round your answers to nearest tenth)
Question 2
2.
What do the slope and y-interecept mean in context?
Question 3
3.
What is the correllation coeffecient (r) rounded to 4 decimal places?
Question 4
4.
Question 5
5.
Question 6
6.
Calculate your residual using your answer above. (Just write the number for your answer.)
Question 7
7.
Did you answer all parts to this section?
Skill: S.ID.7 Interpret linear models
Question 8
8.
Question 9
9.
Question 10
10.
Question 11
11.
Question 12
12.
Question 13
13.
The Mayor notices that there is a strong positive linear association between the number of fireman at a fire and The amount of damage (in dollars). he immeaditely decides to reduce the number of firefighters dispatched to reduce the amount of damage. What is wrong with the Mayor's thinking? Explain using mathematical vocabulary.
Question 14
14.
Did you answer all questions in this section?
Skill: F.LE.2 Model linear, quadratic, exponential relationships with functions
Identifying Sequences: State which type of sequence each table represents; arithmetic, geometric, or neither. Also, state whether the graph would be linear, exponential, or quadratic.
Question 15
15.
Question 16
16.
Question 17
17.
Question 18
18.
Question 19
19.
Question 20
20.
The initial value of a particular car is $4500 and is decreasing 9% per year.
Question 21
21.
Question 22
22.
What is the multiplier?
Question 23
23.
Question 24
24.
In 4 years, the car will be worth $____________. (Round your answer to the nearest cent)
Question 25
25.
Did you complete all questions in this section?
Choose all that apply to fully describe the association.
Positive
1 or more outliers or clusters
No Association
Non-linear
Weak
Linear
Very Strong
Strong
No outiers or clusters
Moderate
Negative
What would you predict the weight to be in 6 days? (Use your equation)
40.2
19.7
22.1
23.9
Graph # _________ has a correlation coefficient of r= -0.05
1
2
3
4
Graph # _________ has a correlation coefficient of r= -0.98
1
2
3
4
Graph # _________ has a correlation coefficient of r= -0.70
1
2
3
4
Graph # _________ has a correlation coefficient of r= 0.68
1
2
3
4
A national consumer magazine reported the following correlations.
The correlation between car weight and car fuel efficiency is −0.80.
The correlation between car weight and annual maintenance cost is 0.20.
Heavier cars tend to be less fuel efficient.
Heavier cars tend to be more fuel efficient.
Heavier cars tend to cost more to maintain.
Car weight is related more strongly to fuel efficiency than to maintenance cost.
What type of sequence is part a?
Arithmetic
Geometric
Both
Neither
What type of graph would part a be?
Linear
Exponential
Quadratic
None of these
What is the sequence generator for part a? (How do you get the next term in the sequence)
Plus 4
Minus 4
Times 3
Divide by 3
What type of sequence is part b?
Arithmetic
Geometric
Both
Neither
What type of graph would part b be?
Linear
Exponential
Quadratic
Neither
What is the sequence generator for part b? (How do you get the next term in the sequence)