Answer:
a
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Step-by-step explanation:
PLEASE MAKE ME BRANLIEST
Answer:
a)Slope:
Intercept:
b)
And the determination coeffecient is
Step-by-step explanation:
Data given and definitions
The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.
The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"
When we conduct a multiple regression we want to know about the relationship between several independent or predictor variables and a dependent or criterion variable.
n=110,

Part a
The slope is given by this formula:
If we replace we got:
We can find the intercept with the following formula
We can find the average for x and y like this:
And replacing we got:
Part b
In order to calculate the correlation coefficient we can use this formula:
For our case we have this:
n=110,
So we can find the correlation coefficient replacing like this:
And the determination coeffecient is
- Natural numbers will Always be whole numbers.
Natural numbers are positive integers (whole numbers), so, they are always whole numbers.
- Integers will Sometimes be natural numbers.
Not all integers are natural numbers. Negative integers are not natural numbers while positive integers are natural numbers.
- Irrational numbers will Always be real numbers.
Real numbers consist of both irrational and rational numbers. So, all irrational numbers are real numbers.
- Rational numbers will Never be irrational numbers.
Rational numbers and irrational numbers are two different types of real numbers.
- Rational numbers will Sometimes be integers.
Not all rational numbers are integers. there are some rational numbers that are not integers while some rational numbers are integers.
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I believe the correct answer is the third answer.
Hope this helps! :)
Answer:B.) 1.74%
Step-by-step explanation: