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Brums [2.3K]
3 years ago
7

Which describes the effect of the transformations on the graph of ƒ(x) = x2 when changed to ƒ(x) = 5(x + 4)2 + 6?

Mathematics
1 answer:
marusya05 [52]3 years ago
8 0

Strerch by factor of 5 on y-axis.

Shift by 4 to the left on x-axis.

Shift by 6 up the y-axis.

Hope this helps.

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Which of the following is the product for (x+4)(x-2)?
larisa86 [58]

Answer:

A

Step-by-step explanation:

X times x is x squared then x times - 2 is - 2x but 4 times x is 4x. So 4x plus - 2x is 2x. Then 4 times - 2 is - 8 put that all together you'll get x^+ 2+2x-8

6 0
3 years ago
A recipe requires 3/4 of a cup of flour.
nalin [4]

Answer:

<h2>168.75 g</h2>

Step-by-step explanation:

the required mass of flour = (3÷4)×225 = 168.75

8 0
3 years ago
The number 49 has two square roots: 7 and _____​
Ainat [17]

Answer:

-7

Step-by-step explanation:

Square numbers always have two possible roots: a positive and negative root. This is because two positive numbers multiply to make a positive number and two negative numbers also multiply to make a positive number

-7 × -7 is still 49, just like 7 × 7

Hope this helps!

4 0
2 years ago
Read 2 more answers
Match the angle with it's corresponding classification​
SVETLANKA909090 [29]

Answer:

∠TPR = right angle

∠SPQ = acute angle

∠QPT = obtuse angle

Step-by-step explanation:

Right angles are 90°, acute angles are angles less than 90°, obtuse angles are angles more than 90°

8 0
3 years ago
The Pearson product-moment correlation coefficient Group of answer choices is called the Pearson c. is used when both variables
Alekssandra [29.7K]

Answer:

provides information about the strength of a relationship

Step-by-step explanation:

A numerical measure of strength in the linear relationship between any two variables is called the Pearson's product moment correlation coefficient.

The co efficient of correlation is a pure number denoted by r , independent of the units in which the variables are measured that can range from+1 to -1 .

The sign of r indicates the direction of the cor relation.

When r= 0 it does not mean that there is no relationship . For example if the observed values lie exactly on a circle , there is a relationship between variables but r = 0  as r only measure linear cor relation.

The 2nd statement given is the correct answer.

It is not related to ordinal or nominal properties and it does show direction.

6 0
3 years ago
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