Independent variable is the predictor variable which is the height and dependent variable is the response variable which is weight in this scenario.
The square of correlation coefficient gives the coefficient of determination. It is denoted by R² (R squared).
We are given:
R = 0.75
So,
R² = 0.75²
R² = 0.5625
R² = 56.25 %
The coefficient of determination tells how much of the trend of dependent data can be explained by the independent data using the linear regression model. So in the given case, Height can explain 56.25% of the trend in the weight.
Answer:
We need dimensions to answer this.
The number of hours that students have to work on homework will be 1/3 hours.
<h3>What is subtraction?</h3>
It simply implies subtracting something from an entity, group, location, etc. Subtracting from a collection or a list of ways is known as subtraction.
Mr. K's maths class is 1 and 1/4 hours long.
After working problems on the board for 55 minutes or 11 / 12 hour.
He gave the students the rest of the class period to work on homework.
Then the number of hours that students have to work on homework will be
⇒ 1 + 1/4 - 11/12
⇒ 5 / 4 - 11/ 12
⇒ (15 - 11) / 12
⇒ 4/12
⇒ 1/3 hours
More about the subtraction link is given below.
brainly.com/question/4319655
#SPJ1
Answer:
x-intercept (s):
For this case h (x) = 0
x2 - 2x - 8 = 0
(x-4) * (x + 2) = 0
x1 = 4
x2 = -2
y-intercept:
For this case x = 0
h (0) = (0)2 - 2 (0) - 8
h (0) = - 8
vertex:
We derive the equation:
h '(x) = x2 - 2x - 8
h (x) = 2x - 2
We match zero:
2x-2 = 0
x = 2/2
x = 1
We evaluate the function for x = 1
h (1) = (1)2 - 2 (1) - 8
h (1) = 1 - 2 - 8
h (1) = -9
The vertex is:
(1, -9)
axis of symmetry of the function:
x = 1
Step-by-step explanation:
hope it helps
