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Exam (elaborations)

STAT 1000 EXAM 2 QUESTIONS AND 100% CORRECT ANSWERS!!

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STAT 1000 EXAM 2 QUESTIONS AND 100% CORRECT ANSWERS!!

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STAT 1000
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Institution
STAT 1000
Course
STAT 1000

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Uploaded on
August 5, 2025
Number of pages
7
Written in
2025/2026
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Exam (elaborations)
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STAT 1000 EXAM 2 QUESTIONS AND 100%
CORRECT ANSWERS!!
two variables are associated if

values from one variable tend to be related to the values of the other variables

a graphical display of the relationship between two quantitative variables

scatterplot

in a scatterplot, what does the x axis usually represent and what does the vertical axis
usually represent

x axis = explanatory variable


y axis = response variable

what does each point on a scatterplot represent

it is an ordered pair, which includes the explanatory and response variable

what 3 things do we use to describe a scatter plot

direction, form, and strength

what direction can a scatter plot be in

positive, neither, or negative

what form can a scatterplot be in

linear, curved, or no pattern

what strength can scatterplots have (how tightly clustered together are the points)

weak, moderate, strong

how can we describe the strength of a scatterplot numerically

correlation coefficient

, a numerical measure of the direction and strength of a linear association between two
quantitative variables

correlation coefficient

what range can a correlation coefficient be

-1 and 1

the sign of the correlation coefficient describes the ? of the linear relationship

direction

the actual number between -1 and 1 for a correlation coefficient describes the ? of the
linear relationship

strength

parameter notation for correlation coefficient

p

statistic notation for correlation coefficient

r

*look at page 6 of notes for how to calculate correlation coeficient

a measure of the joint variability between two quantitative variables

covariance

the variance is never negative, why?

because it is a squared term

can the covariance be negative

yes

what does a positive covariance mean

there is a positive relationship, if one variable increases, so does the other one

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