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irina [24]
3 years ago
12

A web page design firm has two designs for an online hardware store. To determine which is the more effective​ design, the firm

uses one page from 1 : 00 PM until 6 : 00 PM and a second page from 6 : 00 PM until 11 : 00 PM. For each​ visit, the firm records the visitor's rating on the layout and the number of items viewed. Complete parts​ (a) through​ (c) below. ​(a) What is the explanatory variable in this​ study? Is it qualitative or​ quantitative? A. The explanatory variable is the number of items viewed. This explanatory variable is quantitative. B. The explanatory variable is the web page design. The explanatory variable is qualitative. C. The explanatory variable is the time of day. This explanatory variable is qualitative.
Mathematics
1 answer:
elena55 [62]3 years ago
5 0

Answer:

A. The explanatory variable is the number of items viewed. This explanatory variable is quantitative.

Step-by-step explanation:

The variable that we can change is called the Explanatory Variable.

The Response variable depends upon the explanatory variable, as we change the value of the explanatory variable the value of the response variable is also get changed.

When the data is in the form of numeric, it is called quantitative.

When the data is not in the numeric form, it is called qualitative.

Here, we have to determine which web page design is better and it depends on the number of the item viewed by a visitor to that site.

Thus, the Explanatory variable is the "number of items viewed".

and the number of items viewed is numeric data, so it is quantitative.

Hence, option (A) is correct.

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Marco is playing a game with a standard deck of cards. The first person to select a heart from the deck without looking wins. Wh
mestny [16]

Answer:

What is the theoretical probability that Marco will choose a card with a heart on it?  It will be 1/4

What is the theoretical probability that Marco will choose a card without a heart on it?  the answer to this is 3/4

Step-by-step explanation:

7 0
3 years ago
using a regression calculator, what is a good prediction for the height of the tree when it is 100 years old?
mylen [45]

Correct Question:

Tim is investigating the relationship between the number of years since a tree was planted and the height of the tree in feet. His data are shown in the table. Years Since Tree was Planted vs. Height of Tree

Years since the tree was planted, x

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2, 17, 3, 25, 5, 42, 6, 47, 7, 54, 9, 69

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Answer/explanation:

There is no good prediction for the height of the tree when it is 100 years old. If you analyze careful in details the regression calculator you realize that it probably will not valid that far in to the future say 100 years.

6 0
3 years ago
Which is an advantage of using a credit card? You can make purchases even when you don't have cash. You don't indulge in impulse
mamaluj [8]
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8 0
3 years ago
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Gre4nikov [31]

Answer:

Step-by-step explanation:

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7 0
3 years ago
A school cafeteria makes cheese sauce for macaroni using 15 cups of swiss cheese 17 cups of cheddar cheese. Perry tries to make
vladimir2022 [97]

Cafeteria ratio of Swiss cheese to cheddar cheese is 15:17.

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3 years ago
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