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:
6y³ + 17y² + 22y + 15
Step-by-step explanation:
(2y + 3)(3y² + 4y + 5)
6y³ + 8y² + 10y + 9y² + 12y + 15
6y³ + 8y² + 9y² + 10y + 12y + 15
6y³ + 17y² + 22y + 15
Answer:
34.5
Step-by-step explanation:
17 + 70/x when x = 14.
substitute x for 14
17 + 70/4
17 + 17.5
34.5
Answer:
Step-by-step explanation:
An outlier does not affect measures of central tendency. ... An outlier is always the highest or lowest value in a data set.
it says SELECT ALL THAT APPLY.
so there will be more then one Answer
so D AND C
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