Consider the following equation, y+8x=−2 . What is the y -intercept of a line with this equation?
a −2
b 2
c 8
d −8 -2
Using the scatterplot below, what type of correlation is suggested? Scatterplot displaying data points distributed from lower left to upper right. Points are re...
Regression Quiz with Verified Answers. i.- i.- i.- i.- i.-
Consider the following equation, y+8x=−2 . What is the y -intercept of a
i.- i.- i.- i.- i.- i.- i.- i.- i.- i.- i.- i.- i.-
line with this equation?
i.- i.- i.-
a −2
i.- i.-
b2i.- i.-
c8
i.- i.-
d −8
i.- i.-i.- i.- -2
Using the scatterplot below, what type of correlation is suggested?
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Scatterplot displaying data points distributed from lower left to upper
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right. Points are relatively close to one another.
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a No correlation
i.- i.-
b Weak negative positive
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c Moderate positive
i.- i.-
d Strong negative
i.- i.- i.-i.- i.- Moderate positive i.-
When constructing a line of best fit, what must be minimized?
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a The vertical distances between that line and the data points.
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,b The length of the line.
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c The correlation coefficient.
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d The p-value
i.- i.- i.-i.- i.- The vertical distances between that line and the
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data points. i.-
Which correlation coefficient suggests the strongest correlation?
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a −0.9
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b −0.3
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c 0.1
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d 0.8
i.- i.-i.- i.- -0.9
The following table shows the performance of two airlines in two
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different cities. Is there a Simpson's Paradox occurring?
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Airline A Delayed Flights Airline A % Delayed Airline B Delayed Flights
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Airline B % Delayed Total Delayed Total % Delayed
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Los Angeles 62/559 11.10% 460/3450 13.30% 522/4009 13%
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San Diego 46/396 11.60% 30/221 13.60% 76/617 12.30%
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a No, because an equal number of flights departed from each city.
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b No, because it's clear from the data that Los Angeles has a higher rate
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of delayed flights.
i.- i.-
c Yes, because the delayed flight rates were different for each city.
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, d Yes, because while Los Angeles has a greater overal rate of delayed
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flights, San Diego has a greater rate of delayed flights when looking at
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the individual airlines.
i.- Yes, because while Los Angeles has a i.- i.-i.- i.- i.- i.- i.- i.- i.- i.- i.-
greater overal rate of delayed flights, San Diego has a greater rate of
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delayed flights when looking at the individual airlines.
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A restaurant owner wants to see if she can use low temperatures to
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boost soup sales at her restaurant. To study a possible relationship
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between temperature and soup sales, she collects data throughout the
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year on the temperature of a given day (ranging between 20 degrees F
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and 90 degrees F) and the amount of soup sold that day. She performs
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a linear regression and comes up with a least squares regression line of
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y=−1.64x+176.6 with r=−0.89 where x is the temperature (in degrees F) i.- i.- i.- i.- i.- i.- i.- i.- i.- i.- i.-
and y is the number of daily soup sales. What is the correct
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interpretation of the slope of the regression line? i.- i.- i.- i.- i.- i.- i.-
a For every increase in one degree Fahrenheit, there is a corresponding
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increase of 1.64 sales of soup. i.- i.- i.- i.- i.-
b For every increase of one degree Fahrenheit, there is a corresponding
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increase of 176.6 sales of soup. i.- i.- i.- i.- i.-
c For every increase in one degree Fahrenheit, there is a corresponding
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decrease of 1.64 sales of soup. i.- i.- i.- i.- i.-
d For every incre
i.- For every increase in one degree Fahrenheit,
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there is a corresponding decrease of 1.64 sales of soup.
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A researcher wants to know if there was a relationship between
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student age and desire to complete a college degree. To answer this
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