No is a solid answer and infinite solution well that just means anything
Answer:
For every x y is cut in half
Answer:
35.32
Step-by-step explanation:
The regression equation usually demonstrated as
y=a+bx.
In the above equation y is the dependent variable, x is the independent variable, a is the intercept of regression line and b is the slope of regression line.
The given regression equation is
y^=0.06x+14.2
The predicted value of y can be computed by simply putting the value of x in above equation.
So,
y^=0.06(352)+14.2
y^=21.12+14.2
y^=35.32
Thus, the predicted value of y for x=352 is 35.32.
Answer:
The stock price beyond which 0.05 of the distribution fall is $12.44.
Step-by-step explanation:
Normal Probability Distribution:
Problems of normal distributions can be solved using 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.
Mean of $8.52 with a standard deviation of $2.38
This means that 
The stock price beyond which 0.05 of the distribution fall is
This is the 100 - 5 = 95th percentile, which is X when Z has a pvalue of 0.95. So X when Z = 1.645.




The stock price beyond which 0.05 of the distribution fall is $12.44.

Actually Welcome to the concept of Scalar factor Multiplication in Matrix.
So from the above matrix, -3A , is just simply multiplying the -3 to every element of the matrix, so we get as,
===> -3A = | -9 -18 |
| -24 -21 |
| -6 6 |
hence the correct option is B.