Interpretation. <span>R2</span><span> is a statistic that will give some information about the goodness of fit of a model. In regression, the </span><span>R2</span><span> coefficient of determination is a </span>statistical<span> measure of how well the regression line approximates the real data points. An </span><span>R2</span><span> of 1 indicates that the regression line perfectly fits the data. so the correct answer is B. </span><span>about 67% of the predictions made using linear model are correct</span>
Answer:
Step-by-step explanation:
10 x 3 = $30
10 x 4 = $12
$30 + $12 = $42 in think thats the answer i havent been to school in a while
1) 4(6j+1+8j) = 16j + 4 + 32j
2) 16j + 4 + 32j = 48j + 4
Answer:
Option B y<24 is your answer ☺️☺️☺️
If I'm right so,
Please mark me as brainliest. thanks!!!
Formula 3x+1
3(7)+1=22
3(15)+1=46
3(20)+1=61
3(22)+1=67
3(9)+1=28
X arrow X
Yarrow 3X+1
2X arrow 6X+1
X+3 arrow 3X+10