STAT151 Lecture 3: #3 Chapters 7 - 10.pdf

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limehippopotamus462

4 Dec 2014

School

University of Alberta

Department

Statistics

Course

STAT151

Professor

Alireza Simchi

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STAT151 Full Course Notes

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Chapters 7 10: exploring relationship between variables - In these chapters, we will quickly talk about. Definition: a scatter-plot is a graphical display for two quantitative variables. It uses the horizontal axis for the explanatory variable x and the vertical axis for the response y. The values of x and y for a subject are represented by a point relative to the two axes. The observations for the nsubjects are npoints on the scatter-plot. Example 1: find the scatter-plot of the following data. Definition: two quantitative variables are said to have a positive association when high value of x tend to occur with high value of y, and when low values of x tend to occur with low values of y. Title: performances in the men"s high jump from 1960 to. Definition: the sample correlation coefficient is defined by r. 1 n x x s x y s y y n z z x.

Related Questions

Module 2 Minitab Assignment

Instructions:
Below you will find questions and a sample dataset. Please use the provided dataset to complete the tasks and to answer the questions.

As reported by the U.S. Census Bureau in Current Population Reports, the percentage of adults in each state and the District of Columbia who have completed high school is provided below.
Find the mean, median, and mode for this data set. Be aware that the mode does not always exist.
Find the range and standard deviation of this data set.
Write a sentence interpreting the mean and standard deviation.
Write a sentence interpreting the median.
Dataset:
State Percent - Dataset
Alabama 95
Alaska 89
Arizona 95
California 84
Delaware 80
Georgia 81
Illinois 88
Kansas 83
Louisiana 85
Massachusetts 85
New Mexico 91
New York 93
North Carolina 88
Oklahoma 85
Texas 88
Utah 91
Vermont 86
Washington 80
Wisconsin 81
Wyoming 95

(continued on next page)
Based on the following data,
Determine and interpret the first, second, and third quartiles.
Determine and interpret the interquartile range.
Construct a box-plot and describe the shape of the distribution.
Identify any outliers, if any.
Dataset:
96
59
55
111
76
91
60
57
84
123
56
89
61
72
89
72
81
88
75
79

(continued on next page)
This is a set of data from a sample of n = 11 items:
Produce a scatterplot of the data.
What does the plot suggest about the relationship between the variables?
Find and interpret the correlation coefficient.
Find and interpret the coefficient of determination.
Predict the value of y when x = 65. How much faith do you have in this prediction? Explain.
Dataset:
x y
46.1 150.8
47.6 150.2
45.5 141.3
43.1 167.4
44.5 166.7
36.9 121.7
47.4 143.6
44.8 186.1
41.3 166.2
33.5 140.4
34.4 132.9

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STAT151 Lecture 3: #3 Chapters 7 - 10.pdf

STAT151 Full Course Notes

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