Answer:
Ordinary Least Square (OLS) for the multiple regression model involves selecting parameters of a straight line function that will minimize <u>the sum of the squares of the variance in the given dataset and those forecasted by the straight-line function.</u>
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Answer:
The probability that a ship that is declared defecive is sound is 0.375
Step-by-step explanation:
Let P(A|B) denote the conditional probability of A given B. We will make use of the equation
P(A|B) = P(A) × P(B|A) / P(B)
We have the probabilities:
- P(Declared Defective (detected) | Defective) = 0.95
- P(not Detected | Defective) = 1-0.95=0.05
- P(Declared Sound | Sound) = 0.97
- P(Declared Defective |Sound) = 1-0.97=0.03
We can calculate:
P(Declared Defective)= P(Detected | Defective)×P(Defective) + P(Declared Defective |Sound) ×P(Sound) = 0.95×0.05 + 0.03×0.95=0.076
P(S | Declared Defective) =
(P(Sound) × P(Declared Defective | Sound)) / P(Declared Defective)
=0.95×0.03 /0.076 =0.375
Given:
Find: interval notation of the given number line.
Explanation:
is the interval notation for the given number line.
The slope is the number next to the variable and the y intercept is the number after the slope.
#1. Slope= -3
Y-intercept=-3
#2. Slope=5/2
Y-intercept=-4
#3. Slope=1/3
Y-intercept=3
#4. Slope=-2
Y-intercept=2
#5. Slope=-2/5
Y-intercept=-2
#6. Slope=-2/3
Y-intercept=-2
