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>
The correct answer is: C. 247
Add all of the weights
215 + 225 + 285 + 260 + 250 = 1235
Divide the total weight by the number of weights given
1235/5 = 247
Answer:
d
Step-by-step explanation:
it fits correctly to the description
Answer:
Step-by-step explanation:
c) ∠BAC
d) ∠CAB
