Answer:
1. Randomly divide the available set of observations into two
parts, a training set and a validation set or hold-out set.
2. Fit the model on the training set.
3. Use the resulting fitted model to predict the responses for the
observations in the validation set.
4. The resulting validation set error rate is typically assessed using
the MSE in the case of a quantitative response. This provides
an estimate of the test error rate.
$250 = $75 + ?
45 × 3 = 135
135 + 75 = 210
210 + 45 = 255
? = 180
$75 + ( 45 × 4 ) = 255
so she could save up 4 weeks worth of money plus the other 75 with an extra $5 to spend or save for something
A. x= 11/5
b. x= 6
c. x= -12/2
d. x= 6/5
Assuming a simple interest model for this information, the interest due at maturity will be:
I=(PRT)/100
where:
P=principle
R=rate
T=time
thus
I=1500×120/364×10/100
I=$49.45
Answer: $49.45
