The regression equation which correctly models the data in this table is y = 1.49x - 107.5,
<h3>How to determine the regression equation?</h3>
From the table of data values, we have the following parameters:
∑x = 632
∑y = 404
∑x² = 80.142
∑xy = 51.448
Mathematically, the regression equation is represented by the following slope equation:
y = Bx + A
Next, we would determine A by using this expression:
A = (∑y·∑x² - ∑x·∑xy)/(n∑x² - (∑x)²)
A = (404×80,142 - 632×51,448)/(5×∑x² - (632)²)
A = (32,377,368 - 32,515136)/(5×80142 - 399,424)
A = -137,768/1286
A = 107.5
For B, we have:
B = (n∑xy· - ∑x·∑y)/(n∑x² - (∑x)²)
B = (5×51,448 - 632×404)/(5×∑x² - (632)²)
B = 1.49.
y = Bx + A
y = 1.49x - 107.5
Read more about regression equation here: brainly.com/question/28037520
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Answer:
1 and 2
Step-by-step explanation:
1^2 + 2^2 =
1 + 4 = 5
I guess i would be <span>a=2.790220576310317 or </span><span>−<span>1.2902205763103165</span></span>
Answer:
Therefore, the the world's predicted population in the year 2020 is 7,911×10^6 people.
Step-by-step explanation:
Given:
P₀ = 5,642×10^6 people,
i = 1.3% = 0.013 per year,
n = 2020 - 1994 = 26 years,
We get:
Pn = P₀ e^(i.n)
. . .= 5,642×10^6×e^(0.013×26)
. . .= 7,911×10^6 people
Answer:
180 
can fit in the container will be your answer.
Step-by-step explanation:
Ok so... the equation is: 6 x 5 x 12 ÷ 2
Which will be 180.
