Statistical Methods - Linear Regression Project | STA 2023, Study Guides, Projects, Research of Data Analysis & Statistical Methods

Material Type: Project; Class: Statistical Methods; Subject: STA: Statistics; University: Valencia Community College; Term: Summer 2000;

Typology: Study Guides, Projects, Research

Pre 2010

Uploaded on 08/03/2009

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STA 2023 – Linear Regression Project
Phase 1: Analysis
Below is a checklist of items you must prepare and submit. Neatness counts – write and draw
neatly, using graph paper for the graphs, or use a computer to prepare your charts and graphs.
1. Calculate the mean, standard deviation, and 5-number summary for both variables in your
data (two sets total)
Age (years) Price ($)
Mean 6.601 Mean 5565.02
SD 2.081 SD 1791.79
Min 2.150 Min 1724
Q1 5.068 Q1 4500
Median 6.824 Median 5695
Q3 7.937 Q3 6860
Max 10.234 Max 9146
2. Create two histograms (one for each variable) using approximately 5-7 bins each – axis
must be labeled with variable name and scale
Age (years)
0 2000 4000 6000 8000 10000
Price ($)
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STA 2023 – Linear Regression Project

Phase 1: Analysis Below is a checklist of items you must prepare and submit. Neatness counts – write and draw neatly, using graph paper for the graphs, or use a computer to prepare your charts and graphs.

  1. Calculate the mean, standard deviation, and 5-number summary for both variables in your data (two sets total)

Age (years) Price ($) Mean 6.601 Mean 5565. SD 2.081 SD 1791. Min 2.150 Min 1724 Q1 5.068 Q1 4500 Median 6.824 Median 5695 Q3 7.937 Q3 6860 Max 10.234 Max 9146

  1. Create two histograms (one for each variable) using approximately 5-7 bins each – axis must be labeled with variable name and scale

Age (years)

0 2000 4000 6000 8000 10000 Price ($)

  1. Create a scatterplot – axes must be labeled with variable names and scale
  2. Calculate the regression equation and write with descriptive variable names, also include the R 2 value

Price = 10992.50 - 822.28(Age)

R^2 = 0.

  1. Create a residual plot