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Makovka662 [10]
3 years ago
10

A sales manager gathered information on the number of sales calls made and the number of copiers sold for a random sample of 20

sales representatives. From his analysis he found the following descriptive statistics and he wants to determine the relationship between the number of sales calls and the number of copiers sold to predict the number of sales for a given number of calls. Which one of the following models best describes the linear model?
mean standard deviation
number of sales calls 22 9.2
number of copiers sold 45 14.3
correlation coefficient 0.76
A. ^calls = 19.01 + 1.18 x sales
B. ^sales = 1.18 + 19.01 x calls
C. ^sales = 19.01 + 1.18 x calls
D. ^calls = 1.18 + 19.01 x sales
Mathematics
1 answer:
lubasha [3.4K]3 years ago
5 0

Answer:

. The sales manager gathered information on the numbers of sales calls made and the number of copiers sold for a random sample of sales representative. Is there a positive correlation between calls made and copiers? Test at the 0.05 level of significance. Determine the 90% prediction interval for 60 number of calls made. * Calls, X Sold. Y 20 40 20 50 40 60 50 90 40 80 20 40 40 60 30 60

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The equation that represents the amount earned is y = 12 + 2.5x

<h3>How to determine the equation?</h3>

The given parameters are:

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Let the number of walks be x and the total charges per day be y.

So, we have:

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See attachment for the graph

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2 years ago
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V125BC [204]

Answer:

the desired x-intercept is (-53/5, 0); the y-intercept is  (0, 53/3).

Step-by-step explanation:

Find the equation of the line through the given points first:

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Thus, the slope of this line is m = rise / run = 5/3.

Use the slope-intercept formula y = mx + b.  Substitute 5/3 for m, 6 for y and -7 for x:

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Then the y-intercept is (0, 53/3).

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Step-by-step explanation:

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3 years ago
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antiseptic1488 [7]

Answer:

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Now, on putting the values given in the formula

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Now we convert it into dollars by diving 9,250 rupees by 74 rupees.

We get,

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Step-by-step explanation:

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