Please answer A, B, D, F, & G. Thank you! What is the relationship between the number of minutes per day a woman spends talkingon the phone and the woman's weight? The time on the phone and weight for 7 women areshown in the table below.Time65757711885957Pounds196181214117226168157a. Find the correlation coefficient: r =Round to 2 decimal places.b. The null and alternative hypotheses for correlation are:Но: [?H1: [?v + O= 0The p-value is:(Round to four decimal places)c. Use a level of significance of a =test in the context of the study.0.05 to state the conclusion of the hypothesisO There is statistically significant evidence to conclude that there is acorrelation between the time women spend on the phone and their weight.Thus, the regression line is useful.O There is statistically insignificant evidence to conclude that there is acorrelation between the time women spend on the phone and their weight.Thus, the use of the regression line is not appropriate.There is statistically insignificant evidence to conclude that a woman whospends more time on the phone will weigh more than a woman who spendsless time on the phone.There is statistically significant evidence to conclude that a woman whospends more time on the phone will weigh more than a woman who spendsless time on the phone.d. p2(Round to two decimal places) f. The equation of the linear regression line is:x (Please show your answers to two decimal places)+g. Use the model to predict the weight of a woman who spends 52 minutes on thephone.Weight =(Please round your answer to the nearest whole number.)

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Description: Please answer A, B, D, F, & G. Thank you! What is the relationship between the number of minutes per day a woman spends talkingon the phone and the woman's weight? The time on the phone and weight for 7 women areshown in the table below.Time657577118

a. The correlation value is obtained using EXCEL. The software procedure is given below: Enter the…

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What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 7 women are shown in the table below. Time 65 75 77 11 88 59 57 Pounds 196 181 214 117 226 168 157

What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 7 women are shown in the table below. Time 65 75 77 11 88 59 57 Pounds 196 181 214 117 226 168 157

MATLAB: An Introduction with Applications

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Author:Amos Gilat

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Concept explainers

Permutations and Combinations

If there are 5 dishes, they can be relished in any order at a time. In permutation, it should be in a particular order. In combination, the order does not matter. Take 3 letters a, b, and c. The possible ways of pairing any two letters are ab, bc, ac, ba, cb and ca. It is in a particular order. So, this can be called the permutation of a, b, and c. But if the order does not matter then ab is the same as ba. Similarly, bc is the same as cb and ac is the same as ca. Here the list has ab, bc, and ac alone. This can be called the combination of a, b, and c.

Counting Theory

The fundamental counting principle is a rule that is used to count the total number of possible outcomes in a given situation.

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Question

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Please answer A, B, D, F, & G. Thank you!

What is the relationship between the number of minutes per day a woman spends talking
on the phone and the woman's weight? The time on the phone and weight for 7 women are
shown in the table below.
Time
65
75
77
11
88
59
57
Pounds
196
181
214
117
226
168
157
a. Find the correlation coefficient: r =
Round to 2 decimal places.
b. The null and alternative hypotheses for correlation are:
Но: [?
H1: [?v + O
= 0
The p-value is:
(Round to four decimal places)
c. Use a level of significance of a =
test in the context of the study.
0.05 to state the conclusion of the hypothesis
O There is statistically significant evidence to conclude that there is a
correlation between the time women spend on the phone and their weight.
Thus, the regression line is useful.
O There is statistically insignificant evidence to conclude that there is a
correlation between the time women spend on the phone and their weight.
Thus, the use of the regression line is not appropriate.
There is statistically insignificant evidence to conclude that a woman who
spends more time on the phone will weigh more than a woman who spends
less time on the phone.
There is statistically significant evidence to conclude that a woman who
spends more time on the phone will weigh more than a woman who spends
less time on the phone.
d. p2
(Round to two decimal places)

f. The equation of the linear regression line is:
x (Please show your answers to two decimal places)
+
g. Use the model to predict the weight of a woman who spends 52 minutes on the
phone.
Weight =
(Please round your answer to the nearest whole number.)

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