Analyzing Quantitative Variable Discussion

User Generated

Avgenx90

Mathematics

Description

For this Discussion, you are going to determine analyze the relationship between two quantitative variables.

  • Find bivariate quantitative data for 6-12 individuals. Report these values. Choose one of these ways to collect your data:
    • Google your favorite sports team with the word "statistics" after it. Generally, you'll find a list of players on your team, along with data for several different variables. Choose two variables that you think are interesting and copy down the values for 6-12 players. Saints!!
    • Use U.S. Census Bureau data, which you can find at the following link: https://www.census.gov/quickfacts/fact/table/US/PST045219 (Links to an external site.). In the search box, enter the name of a state. Click on the state name when it comes up. You’ll see a column for that state added to the data table on the website. Choose 6-12 states. Choose two rows in the table that contain variables that you think are interesting. Copy down the values for the states you chose.
    • Collect your own data for two quantitative variables from 6-12 individuals you know.
  • Identify which variable you want to be the explanatory variable and which you want to be the response variable.
  • Compute the correlation coefficient r for your data and identify the critical value. State whether or not there is a significant linear relationship.
  • Give the regression equation.

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Explanation & Answer

Hey buddy, please find attached

Running Head: ANALYZING QUANTITATIVE VARIABLE

Analyzing Quantitative Variable
Name
Institution

1

ANALYZING QUANTITATIVE VARIABLE

2

Collected Data
Table 1: Scoring Data of Los Angeles Lakers Team Players (Foxsports.com, 2020)
LOS ANGELES LAKERS SCORING DATA
Minutes per
Field Goals Made per Game
Name of Player
Game(MPG)
(FGM/G)
Davis, A. PF
34.3
James, L. PG
34.9
Kuzma, K. PF
24.6
Caldwell-Pope, K.
SG
25.4
Bradley, A. SG
24.2
Green, D. SG
25.1
Howard, D.C
19.2
Rondo, R. PG
20.5
McGee, J. C
16.8
Caruso, A. PG
17.8
Cook, Q. PG
10.8
Morris, M. PF
14.8

9.2
9.8
4.7
3.5
3.5
2.9
3
2.9
3
1.9
2
1.8

Data Analysis
For the above data, minutes per game (MPG) is the explanatory variable and field goals
made per minutes (FGM/G) is the response variable. The correl...


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