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Tanya [424]
2 years ago
12

Solve the following variation problem.

Mathematics
1 answer:
timurjin [86]2 years ago
6 0

The interest on the investment when the interest rate is 9% is; $101.25.

<h3>What is the interest when the interest rate is 9%?</h3>

It follows from the task content that the interest on an investment varies directly as the rate of interest.

Hence, it follows from proportion that the interest when the interest rate is; 9% can be calculated as follows;

= 9 ×45/4

= $101.25

Ultimately, the interest on the investment evaluated by means of proportional reasoning is therefore; $101.25.

Read more on proportional relationship;

brainly.com/question/21302696

#SPJ1

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Explain how you would use<br> an area model to show 3 x 19.
Triss [41]

Answer:

You would draw a rectangle that has 3 rows of 19 squares.

This would represent 3 times 9.

Step-by-step explanation:

7 0
3 years ago
(3/5)x + 25y=10 determine the slope of the line
Sophie [7]

Answer:

The slope is -0.048/2.000 or -0.024

Step-by-step explanation:

7 0
3 years ago
Which statement is a TRUE statement about rectangles?
ozzi

the answer is c.C. The opposite sides in a rectangle are equal.

3 0
3 years ago
Read 2 more answers
You were billed $28.50 for additional data usage on your cell phone at a rate of $9 per gigabyte. Three choices are correct ways
Zepler [3.9K]

Answer:

b.) 9/g = 28.5

Step-by-step explanation:

a.) 9g = 28.5

b.) 9/g = 28.5

c.) 28.5 = 9 x g

d.) 28.5/9 = g

Total billing = $28.50

Rate = $9 per gigabyte

Calculate the additional gigabytes, g, that you used.

Additional gigabyte used, g = Total billing / Rate

g = $28.50 / $9

9g = 28.50

28.50 = 9 × g

g = 28.50 / 9

Option b.) 9/g = 28.5 is the incorrect way to calculate the additional gigabytes, g, that you used.

4 0
3 years ago
In the simple linear regression model estimate Y = b0 + b1X
Sav [38]

Answer:

Option B) Y - estimated average predicted value, X – predictor, Y-intercept (b_0), slope (b_1)    

Step-by-step explanation:

In the simple linear regression model estimate is given by:

Y = b_0 + b_1X

Comparing this regression line with the slope intercept form, we get:

y = mx + c

where m is the slope of the straight line and c is the y-intercept that is the value of y when x is zero.

here,

Y is the predicted variable or the variable we need to predict

X is the predictor or the variable that helps us to predict Y

b_1 is the slope of the regression line.

b_0 is the y-intercept or the value of y when x is zero.

Thus, Option B)

Y - estimated average predicted value, X – predictor, Y-intercept (b_0), slope (b_1)

5 0
3 years ago
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