I don’t know the answer but I need points sorry
Answer with Step-by-step explanation:
We are given that
Where t corresponds to the year 2000=0
a.
Substitute the values
b.In 2004
t=4
c.In 2013
t=13
Answer:
the fist one is equal to 20
Answer:
y = 0.325X + 7.5 ;
21.5 ;
R^2 = 0.7655 ;
r = 0.8749
Step-by-step explanation:
No. of loans originated ____ sheets of p/paper
45 ______________22
25 ______________ 13
50 _____________ 24
60 _____________ 25
40 _____________ 21
25 _____________ 16
35 _____________ 18
40 _____________ 25
Using the linear regression calculator : the linear model obtained is:
y = 0.325X + 7.5
y = predicted variable = sheets of photocopy paper
X = number of loans originated
0.325 = slope
Intercept = 7.5
B.)
X = 42
y = 0.325(42) + 7.5
y = 21.15
C.)
The Coefficient of determination as determined using the correlation coefficient calculator is :
R^2 = 0.7655 ; this means that about 76.55% of change in number of photocopy performed is explained by the number of loans originated.
D.) The correlation Coefficient (r) :
r = sqrt(R²)
r = sqrt(0.7655)
r = 0.8749
This shows that a strong positive correlation exists between the number of loans originated and the volume of photocopying done.
Answer:
C) Mean, Skewed.
Step-by-step explanation:
The mean is easily influenced by outliers in a distribution. So if a Distribution of scores is skewed, then it will mislead the readers. In a skew distribution, either positive or negative, the Median will turn to be the central value. Usually, the mean is used besides other statistical parameters.
In a Normal distribution, the mean is right in the middle, symmetrically dividing the "bell shape" curve. The Mean, in this case, coincides with the mode, and the Median.
On the other hand, the Median is way more trustable central tendency measure, more resistant to outliers. So in a Skewed distribution, a Median is preferred over the Mean and use alongside the Mode.
