The confidence interval is based on
mean square error. T<span>he </span>mean squared error<span> (</span>MSE<span>) </span><span>of an </span>estimator<span> measures the </span>average<span> of the squares of the </span>errors<span> or </span>deviations.<span> MSE is calculated by the formula attached in the picture, where Xbar is a vector of predictions, X is the vector of predicted values. </span>
Answer:
x = 2
Step-by-step explanation:
I just chucked it into Wolfram Alpha and it showed me x = 2
also for more proof, insert positive 2 in both x's
Answer:
pretty sure its 123
Step-by-step explanation:
ANSWER: 6%
Explanation: 15 divide by 250 is 0.06
Answer:
1 burger = $1.50
Step-by-step explanation:
15 ÷ 10 = 1.5
1.50 × 16 =24