Answer:Average error will be less
Step-by-step explanation: Prediction error refers to the difference between the the actual and predicted value of an observation. Using correlation analysis or study, The level or degree of correlation or relationship between two measured variables usually determines the variation or measure of the prediction error. If there is no relationship or correlation between two measured variables, if such model is used to make prediction, the average prediction error will be very high. However, since it is stated that there exist a relationship between high school GPA and Freshman-year GPA, then making prediction based on this assertion will lessen the average prediction error.
-3°C is the coldest temperature
Answer:
If I've done it right the answer should be A, the figures are congruent because a 270 rotation about the origin a d a reflection of the x-axis
Answer:
0.0668 = 6.68% probability that the worker earns more than $8.00
Step-by-step explanation:
When the distribution is normal, we use the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
The average hourly wage of workers at a fast food restaurant is $7.25/hr with a standard deviation of $0.50.
This means that 
If a worker at this fast food restaurant is selected at random, what is the probability that the worker earns more than $8.00?
This is 1 subtracted by the pvalue of Z when X = 8. So



has a pvalue of 0.9332
1 - 0.9332 = 0.0668
0.0668 = 6.68% probability that the worker earns more than $8.00
Answer:
D 2+6x
Step-by-step explanation:
-2/3(-3-9x)
(-2/3×-3)+(-2/3×-9x)
6/3+18x/3 = 2 + 6x