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pentagon [3]
3 years ago
15

WILL MARK BRAINLIEST!! please answer all questions

Mathematics
1 answer:
lana66690 [7]3 years ago
7 0

Answer:

1a) −24x^4−52x^3+198x^2+126x−325

2a) 14x^2+7x−41

3a) 30x^3+9x^2+32x−7

Step-by-step explanation:

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What is the effect of two parallel lines are rotated 90 clockwise
PSYCHO15rus [73]

sorrry dont know my bad

8 0
3 years ago
The number of cats increased from 1650650 to 2250015. What is the percentage change to the nearest tenth?
Luden [163]
First you have to subtract 2250015 by 1650650 and the answer is 599365

The you add 2250015 to 1650650 and the answer is 3900665 so you divide

599365 by 3900665 and multiply by 100 and the final result is 517.325002

And to the nearest ten is 517.3 because 2 is below five to round up

Final answer— 517.3

Hope this helps
7 0
3 years ago
The cost of a candy bar in a vending machine is $0.95. The cost of a bottle of water in the same machine is $1.25. Jamie has $25
Mrrafil [7]

Answer:

The answer is $16.45

Step-by-step explanation:First, you have to multiply $0.95 x 9 = $8.55

Then, you have to subtract $25.00-$8.55 = $16.45


Please mark this brainliest and I will be glad to help anytime


6 0
3 years ago
Question 1!!! PLEASE HELP
andreev551 [17]
Quickly using a calculator (or long division) reveals that 191/238=<span>0.8025=80.25%, which is close to 80%=4/5
Similarly, 106/160=0.6625=66.25%, which is close to 66.67%=2/3</span>
7 0
3 years ago
Based on the scatterplot and the value of the correlation coefficient, it would make sense to test the significance of this obse
Aleks [24]

Answer:

d. H0: melanoma mortality rate is not linearly related to latitude

   Ha: melanoma mortality rate is linearly related to latitude

Step-by-step explanation:

The linear regression equation is

y=α+βx where α=intercept and β=slope.

β=slope demonstrates the change in dependent variable due to unit change in independent variable.

If the slope is zero then we can say that Y and X are not linearly related.

Thus, the hypothesis for testing significance of linear relationship two variables can be written as

Null hypothesis: The two variables are not linearly related i.e. β=0

Alternative hypothesis : The two variables are linearly related i.e. β≠0.

Thus, in the given scenario the hypothesis are

H0: melanoma mortality rate is not linearly related to latitude

Ha: melanoma mortality rate is linearly related to latitude.

5 0
3 years ago
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