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dybincka [34]
3 years ago
15

A quantity representing how many times the base is multiplied by itself

Mathematics
1 answer:
ankoles [38]3 years ago
4 0

Answer:

Let suppose the quantity be x^{y} where x=Base, y=exponent

Now, if the base is multiplied by itself

i.e , x \times x=x^{2}

If we raise the power of base multiply by itself by y/2, then it becomes equal to the quantity given.

[x^{2}]^{\frac{y}{2}}=x^{y}=Quantity

Or if we raise the power of quantity by 2/y , then it becomes equal to base multiply by itself.

[x^{y}]^{\frac{2}{y}}= x^{2}

Quantity=x^{y}=[base\times base]^{\frac{y}{2}}=[x^{2}]^{\frac{y}{2}}




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The following data was collected to explore how the average number of hours a student studies per night and the student's GPA af
Alja [10]

Answer:

Step-by-step explanation:

Hello!

The given data is for multiple regression with two independent variables:

Y= α + β₁X₁ + β₂X₂

Y: ACT score of a student

X₁: Number of hours spent studying.

X₂: Student's GPA

      Effects on ACT Scores

Study Hours GPA ACT Score

6                   2                   31

3                   4                28

5                   2                19

2                   4                29

2                   4                20

Using a statistical software I've estimated the regression line:

Y= -37.57 + 7.14X₁ + 11.64X₂

1)Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.

The p-value for the multiple regression (One-Tailed F-test-ANOVA-) is 0.5045

2)Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.01 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, it indicates that there is not enough evidence to show that the relationship is statistically significant.

The hypotheses for the multiple regression is:

H₀: β₁ = β₂ = 0

H₁: At least one βi≠0 ∀ i=1, 2

α: 0.01

Since the p-value= 0.5045 is greater than α: 0.0, the decision is to not reject the null hypothesis, this means that there is no significant evidence to say that there is a relationship between the ACT scores and the student's GPA and hours that the student spent studying.

The individual tests are:

(remember to have validity the individual tests should be made at the same α level)

H₀: β₁ = 0

H₁: β₁ ≠ 0

α: 0.01

ANOVA: p-value: 0.2977

The decision is to not reject the null hypothesis.

At a level of 1%, there is no evidence to support the hypothesis that the number of hours spent by studying doesn't modify the average ACT of students.

H₀: β₂ = 0

H₁: β₂ ≠ 0

α: 0.01

ANOVA: p-value: 0.3038

The decision is to not reject the null hypothesis.

At a level of 1%, there is no evidence to support the hypothesis that the student's GPA doesn't modify the average ACT of students.

None of the independent variables, together or individually, are effective to explain the variability of the ACT scores of the students in the study.

I hope this helps!

6 0
3 years ago
Holly has $462 in her bank account and takes out $15 each week but does not put any back in. Write an equation/expression to rep
Degger [83]

Answer:

Therefore required expression is

y =462 - t×15

where y represents the amount of money in her bank account in dollar after t week.

Step-by-step explanation:

Given that,

Holly has $462 in her bank account and takes out $15 each week but does not put any back in.

She takes out $15 on first week.

The remaining amount of her bank account is =$(462-15)

                                                                            =$(462 - 1×15)

If she withdraws $15 on second week.

The remaining amount of her bank account is =$(462-15-15)

                                                                            =$(462 - 2×15)

Similarly after third the amount in her account is =$(462 - 3×15)

From the above it is cleared that

The amount in her account after t week is

=$(462 - t×15)

Therefore required expression is

y =462 - t×15

where y represents the amount of money in her bank account in dollar after t week.

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3 years ago
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