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disa [49]
3 years ago
15

For use in a linear regression model, categorize which of the following variables should be represented as dummy variables and w

hich can be represented as quantitative variables.
ITEMS

TIME TO RUN A MARATHON

SHOE COLOR

HEIGHT

NUMBER ON AN ATHLETE'S JERSEY

GENDER

SIZE OF FLAT-SCREEN TELEVISION

HOURS SPENT STUDYING CORE

ICE CREAM FLAVOR

CALORIES IN DESSERTS

CATEGORY

Dummy Variables

Quantitative Variables
Business
1 answer:
Novay_Z [31]3 years ago
4 0

Answer:

DUMMY VARIABLES:

The items include;

Shoe color,

Number on an athlete's jersey,

Gender,

Ice cream flavor

QUANTITATIVE VARIABLES: Items include;

Time to run marathon,

Height,

Size of flat-screen television,

Hours spent studying core,

Calories in desserts.

Explanation:

Time to run a marathon, height, size of flat–screen television, hours spent studying core, and calories in desserts are quantitative variables.

Shoe color, number on an athlete’s jersey, gender, and ice cream flavor are categorical/qualitative variables and need to be transformed into dummy variables. Note that although athlete’s jerseys have numbers, those values cannot be interpreted as real numbers.

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Bond X is a premium bond making semiannual payments. The bond has a coupon rate of 7.5 percent, a YTM of 6 percent, and 13 years
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a. What are the prices of these bonds today?

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0.0375 = {30 + [(1,000 - MV)/26]} /  [(1,000 + MV)/2]

0.0375 x [(1,000 + MV)/2] = 30 + [(1,000 - MV)/26]

0.0375 x (500 + 0.5MV) = 30 + 38.46 - 0.03846MV

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b. What do you expect the prices of these bonds to be in one year?

price of bond X:

0.03 = {37.5 + [(1,000 - MV)/24]} /  [(1,000 + MV)/2]

0.03 x [(1,000 + MV)/2] = 37.5 + [(1,000 - MV)/24]

0.03 x (500 + 0.5MV) = 37.5 + 41.67 - 0.04167MV

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price of bond Y:

0.0375 = {30 + [(1,000 - MV)/24]} /  [(1,000 + MV)/2]

0.0375 x [(1,000 + MV)/2] = 30 + [(1,000 - MV)/24]

0.0375 x (500 + 0.5MV) = 30 + 41.67 - 0.04167MV

18.75 + 0.01875MV = 71.67 - 0.04167MV

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c. What do you expect the prices of these bonds to be in three years?

price of bond X:

0.03 = {37.5 + [(1,000 - MV)/20]} /  [(1,000 + MV)/2]

0.03 x [(1,000 + MV)/2] = 37.5 + [(1,000 - MV)/20]

0.03 x (500 + 0.5MV) = 37.5 + 50 - 0.05MV

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0.0375 x [(1,000 + MV)/2] = 30 + [(1,000 - MV)/20]

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price of bond Y:

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0.0375 x [(1,000 + MV)/2] = 30 + [(1,000 - MV)/10]

0.0375 x (500 + 0.5MV) = 30 + 100 - 0.1MV

18.75 + 0.01875MV = 130 - 0.1MV

0.11875V = 111.25

MV = 111.25 / 0.11875 = $936.84

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