You would divide 66 by 30 which give you 2.2. Then you divide 106 by 2.2 which gives you an anwser of 48 games
Answer:
<em>Predicted height: 57.42 inches</em>
<em>Residual: 2.58 inches</em>
Step-by-step explanation:
<u>Regression Equation</u>
The regression equation for the height of the children (Hgt) and their age (Age) is given by the expression
Hgt = 24.3 + 2.76(Age)
We must compare the predicted value of the equation vs the real data point Age=12, Height=60
Computing the predicted height
Hgt = 24.3 + 2.76(12)
Hgt=57.42 inches
The residual is the difference between the real data point and the predicted value
R=60-57.42
R=2.58 inches
Answer:
2e⁻² ≈ 0.271
Step-by-step explanation:
This is actually a Poisson distribution. The probability is:
P(x; μ) = e^(-μ) (μˣ) / x!
P(2; 2) = e⁻² (2²) / 2!
P(2; 2) = 2e⁻²
P(2; 2) ≈ 0.271
Answer:

Step-by-step explanation:
<u>Step 1: Distribute
</u>



<u>Step 2: Add 10373 to both sides
</u>

<u>Step 3: Divide both sides by 11
</u>


Answer: 