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3 years ago

To use Long Division of Polynomials to verify that x = a/b is a zero on a polynomial function P(x), the divisor would be

Mathematics

1 answer:

Strike441 [17]3 years ago

4 0

Answer:

D) bx - a

Step-by-step explanation:

If a/b is a zero, then (x -a/b) is a factor of the polynomial. That is, the value x=a/b will make a factor of the polynomial be zero.

The above factor can be written without fractions by multiplying it by b:

(bx -a) . . . . matches choice D

You can also choose the answer on the basis of which expression becomes zero when x=a/b.

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Pls answer and explain if possible

azamat

Answer:

i think it might be f=1(x)= -4/x

Step-by-step explanation:

hope it helps because I am not sure

3 0

3 years ago

Read 2 more answers

Over the past 20 years, the average annual return for shortstop baseball gear has been 9% and the standard deviation has been 4%

Inessa05 [86]

From the given statement above, the information that can be extracted from the data is the mean which is equal to 9 % , SD equal to 4%, n is equal to 20. we can also get the variance from SD. also, we can also determine the z-score of the data which is important in the distribution.

3 0

3 years ago

Does anyone know the answer to this problem?

Mariana [72]

The regression equation is y = 16.585x - 639.769 and the linear correlation coefficient indicates a strong linear relationship

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

To do this, we make use of a statistical calculator;

Using the statistical calculator, we have the following summary:

Sum of X = 554
Sum of Y = 4070
Mean X = 69.25
Mean Y = 508.75
Sum of squares (SSX) = 725.5
Sum of products (SP) = 12032.5
Correlation coefficient, r = 0.9768

The regression equation is

ŷ = bx + a

Where:

b = SP/SSX = 12032.5/725.5 = 16.58511

a = MY - bMX = 508.75 - (16.59*69.25) = -639.76912

Hence, the regression equation is y = 16.585x - 639.769

<h3>The number of cans sold at 90 degrees F</h3>

This means that"

x = 90

So, we have:

y = 16.585 * 90 - 639.769

Evaluate

y = 852.881

Approximate

y = 853

Hence, 853 cans were sold at 90 degrees F

<h3>The linear correlation coefficient</h3>

In (a), we have:

r = 0.9768

This means that the linear correlation coefficient is 0.9768

<h3>The conclusion</h3>

We have:

r = 0.9768

The above value is closer to 1 because

|r| > 0.9

i.e.

0.9768 > 0.9

Hence, the linear correlation coefficient indicates a strong linear relationship

Read more about regression at:

brainly.com/question/17844286

#SPJ1

6 0

2 years ago

Carmen is playing draw & compare decimals with her partner. Carmen drew 4,7,6,0, and 2 and has to use three of the cards to

GenaCL600 [577]

Answer:

For more;

4.76

for less;

0.46

Step-by-step explanation:

Here, we intend getting the decimals that Carmen should make in her game given the numbers she drew

She has two types to make; a decimal less than 1 and a decimal more than 1

If the decimal should be less than 1, the number zero should lead;

And since she is using three of the numbers, we can have something like;

0.46

To make a decimal more than one, she could actually start with any of the numbers other than zero

we can have something like 4.76

5 0

3 years ago

Students in an introductory statistics course were asked the following questions as part of a class survey:(1) What is your gend

11Alexandr11 [23.1K]

Answers:

Gender = categorical, nominal variable

Sleep length = numerical, continuous

Bedtime = categorical, ordinal

Number of countries visited = numerical, discrete

Scale of dreading semester = categorical, ordinal

=========================

Explanation:

Gender is categorical because there are two categories or labels, male or female. It is nominal because we simply attach names to each label and we can't sort them or order them from highest to lowest. There is no ranking for gender.

Sleep length is numerical as it deals with numbers. I put continuous because someone could write 2.5 hours or 3.75 hours. If whole numbers are only allowed, then the variable would be discrete.

The bedtime portion is categorical as each time slot is a category. Like with the first part, they are simply labels. We can order them however from earliest to later on, which is why this variable is ordinal.

The number of countries visited is numeric as expected, and it's also discrete because we can't visit 0.1 of a country. By "visit", I mean step foot in any part of the country for any length of time. It does not mean you have to explore every square inch of the territory.

The last part is categorical and ordinal. The scale ranking is ordered for us from 1 to 5. Despite the fact we have numbers here, the data is not numerical as the numbers 1 through 5 represent labels of "very little" through "a lot".

5 0

3 years ago