ALG Flex Week 14 Assignment (notes located in unit 4 packet)

Interactive Video
•
Mathematics
•
8th Grade
•
Hard
MENDY RAE BAKER
FREE Resource
9 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of linear regression when using technology?
To manually draw the line of best fit on a scatter plot.
To find the most accurate line of best fit for bivariate data.
To determine the correlation coefficient without analyzing data.
To predict future trends without using past data.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step required on a graphing calculator to view the correlation coefficient (r-value) for a set of data?
Enter the data into L1 and L2.
Press the STAT key and select 'Edit'.
Turn on STAT DIAGNOSTICS in the MODE menu.
Calculate the linear regression line directly.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a correlation coefficient (r) of -0.98 indicate about the relationship between two variables?
A weak positive correlation.
A strong negative correlation.
No correlation.
A moderate positive correlation.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If the correlation coefficient (r) for a dataset is 0.995, what does this imply about the relationship between the variables?
There is a weak negative relationship.
There is no significant relationship.
There is a very strong positive relationship.
There is a moderate negative relationship.
5.
MULTIPLE CHOICE QUESTION
30 sec • Ungraded
Are you enjoying the video lesson?
Yes
No
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the predicted weight of an alligator after 60 weeks, given the equation y = 0.27x + 5.82?
22.02 lbs
16.2 lbs
5.82 lbs
27.82 lbs
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the correlation coefficient for the department store data, and what does it indicate?
r = 0.947, strong positive correlation
r = -0.947, strong negative correlation
r = 0.896, weak positive correlation
r = -0.896, weak negative correlation
8.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Using the linear regression equation y = -375.4x + 8052.2, how many department stores are predicted to be in the United States in 2022, where x represents years since 2016?
Approximately 5,800 stores
Approximately 6,200 stores
Approximately 7,100 stores
Approximately 7,900 stores
9.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Based on the linear regression equation y = -375.4x + 8052.2 (where x is years since 2016), in what year would the number of department stores in the United States be expected to reach approximately 4,000?
2025
2026
2027
2028
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