Microeconomics
2nd Edition
ISBN: 9781259813337
Author: KARLAN, Dean S., Morduch, Jonathan
Publisher: Mcgraw-hill Education,
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Question
Chapter A, Problem 12PA
To determine
To rank the given equations based on steepness of their slope from lowest to highest.
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Check out a sample textbook solutionStudents have asked these similar questions
The slope of the line between points a and b is
4
.25
-4
-.25
The following graph contains four lines (A, B, C and D), each of which has a slope that is either positive, negative, zero, or infinite.
Y-axisX-axisBDCA
For each of the following scenarios, indicate whether the relationship between the two variables is positive or negative, as well as which line on the previous graph has a slope that reflects this type of relationship.
Hint: The X-axis and Y-axis on the graph are not labeled intentionally. You need to substitute the variables from each scenario for the horizontal and vertical axis. For example, in the first scenario, X-axis should be labeled “ ice-cream" and Y-axis should be labeled "The temperature".
Scenario
Relationship
Line
As the temperature rises, the demand for ice-cream rises.
Negative
As the temperature rises, the demand for hot cocoa falls.
Positive
As the temperature falls, the demand for popsicles falls.
Negative
True or False: Line B has a slope of infinity.…
1. Solve the following problem by using Excel for graph sketching.
A soda vendor at Louisiana State University football games observes that more sodas
are sold the warmer the temperature at game time is. Based on 32 home games
covering five years, the vendor estimates the relationship between soda sales and
temperature to be y = -240 + 8x, where y = the number of sodas she sells and .x =
temperature in degrees Fahrenheit,
(a) Interpret the estimated slope and intercept. Do the estimates make sense? Why,
or why not?
(b) On a day when the temperature at game time is forecast to be 80°F, predict how
many sodas the vendor will sell.
(c) Below what temperature are the predicted sales zero?
(d) Sketch a graph of the estimated regression line.
Knowledge Booster
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