STAT1201_Sherlow_Assignment2_4October2023 FEEDBACK

.docx

School

Athabasca University, Athabasca *

*We aren’t endorsed by this school

Course

1201

Subject

Statistics

Date

Feb 20, 2024

Type

docx

Pages

7

Uploaded by CoachBravery11850

Report
STAT1201_Sherlow_Assignment1_4Oct2023 Thompson Rivers University STAT 1201 Assignment #2 Unit 2 Ashley Sherlow October 4, 2023 Student Number: T00745766
STAT1201_Sherlow_Assignment1_4Oct2023 STAT 1201 - Introduction to Probability and Statistics 1. Chapter 6: Exercise 32 a. It is not possible to have a correlation higher than 1, so there is a clear error in the calculation of the correlation coefficient. This could be due to the existence of outliers, or an inattention to the three conditions required to calculate correlation. b. The statement makes a bold claim that the correlation indicates a causation between literacy rate and standard of living. Instead, the student should restrict their statement to only a description of the correlation as an indicator of linear association. 2. Chapter 6: Exercise 52
STAT1201_Sherlow_Assignment1_4Oct2023 a. b. The Vehicle Static Weight vs. Vehicle Weight-in-Motion plot shows minimal scatter around a generally straight form that trends slightly upward (positively), which indicates that the linear trend of Vehicle Static Weight vs. Vehicle Weight-in-Motion is fairly consistent and moderately strong. c. Since the plot is generally linear, it’s fairly clear that the weight-in-motion scale is relatively accurate when compared to the static-motion scale (which is assumed to be correct). There is a slight tendency for the weight-in-motion scale to overshoot the static weight measurement, but this is not a hard-and-fast rule. There is one outlying value that is worth investigating to understand factors that may influence either scale’s accuracy for that particular datapoint (or if there was another extenuating circumstance that affected that particular instance). d. Mechanics: Using a TI-84 Plus Calculator, I used the diagnostics function and input the data to find the correlation coefficient.
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
  • Access to all documents
  • Unlimited textbook solutions
  • 24/7 expert homework help