Question

**An r value was found to be .09; then…..**

**There is PROBABLY a strong relationship present****This is probably a coincidence****There is a weak causation relationship present**

**None of these answers**

Answer #1

we know that if r = 1 then there is a strong positive linear relationship between two variables

if r=0 then there is no relationship between two variables

if r = -1 then there is a strong negative linear relationship between two variables

r value was found to be .09 which is near to 0 there is no relationship present between variables . there is weak correlation present ad we know that correlation do not imply causation

option b is true **This is probably a
coincidence**

React to each
statement:
The number of swimming pool accidents in Missouri is
related to the number of seals on Hawaii beaches
There is PROBABLY no relationship present
This is probably a coincidence
There is a weak causation relationship
present
d. None of these answers
There is a relationship
between the more bacon we eat, the less heart
health we have
There is a strong causation relationship
present
This is probably a coincidence
There is a weak causation relationship
present...

A strong correlation does not mean a cause and effect
relationship. Causation is only one explanation of an observed
association. What else could produce a strong correlation?
Select one:
a. central limit theorem
b. a confounding factor, coincidence or a common cause
c. data mining
d. binomial distribution

Julie found an r value to be -.56; Jill found an r value
to be .58. who had the stronger value ?
Julie b. Jill
c. they are both the same in strength
d. none of these
If an r squared = .529,
find the coefficient of non-determination.
Suppose you calculated a corrleation value of .06 with
critical value(s) = +/- 0.444, should you contnue on to regression
? Yes-no
Why or why not ?
since there is a significant...

1) Julie found an r value to be -.56; Jill found an r value to
be .58. who had the stronger value ? a. Julie b. Jill c. they are
both the same in strength d. none of these
2) If an r squared = .529, find the coefficient of
non-determination.
3)Suppose you calculated a corrleation value of .06 with
critical value(s) = +/- 0.444, should you contnue on to regression
? Yes-no
4)Why or why not ? a. since...

A) Two variables have a high covariance. This means the two
variables have a strong relationship. T/F
B) For a variable x, the sample mean is 8 and the sample
standard deviation is 2. One of the observations is 15. Is this
observation an outlier?
Group of answer choices
Yes, the z-score is greater than 3
No, the z-score is between -3 and 3
Yes, the z-score is between -3 and 3
No, the z-score is less than -3
C)...

A correlation of r = .85 is found between weekly sales of
firewood and cough
drops over a 1-year period. Which of the following is true?
(a) There is a pretty strong positive linear relationship
between sales of firewood and cough drops.
(b) Fire must be the cause of coughing.
(c) Temperature is a possible lurking variable that is “behind”
this relationship.
(d) Both (a) and (c) are true.
(e) None of the above.

Please complete the table of net present values below:
Competitor Weak Normal
Strong
Response Economy
Economy
Economy
Yes
-$284,325
-$181,155
-$55,733
No
-$235,775
-$63,824
$142,516
Assume that the investment committee determined the
probabilities below:
Probability the competitor will
response 30%, will not respond 70%
Probability of each economic state
over the six-year horizon Weak – 5%., Normal – 80% and Strong
15%
Please complete the table of joint probabilities (by multiplying
the economy probability by the competitor...

a)Listed below are annual data for various years. The data are
weights (metric tons) of lemons imported from Mexico and U.S. car
crash fatality rates per 100,000 population.
Lemon imports
230
265
358
480
530
Crash fatality rate
15.9
15.7
15.4
15.3
14.9
Draw a scatterplot of these two variables and comment on the
following:
There appears to be
[ Select ]
["a
strong positive",...

With respect to the time value of money, the future value
relationship to the rate of interest is best described as:
a. none of the answers is correct
b. logarithmic
c. a negative relationship
d. a positive relationship
e. no relationship

y = 505.51x - 995806
r2 = 0.9964
Find and state the value of r2, the
coefficient of determination, and r, the correlation coefficient.
Discuss your findings in a few sentences. Is r positive or
negative? Why? Is a line a good curve to fit to this data? Why or
why not? Is the linear relationship very strong, moderately strong,
weak, or nonexistent?
Choose a value of interest and use the line of best fit to make
an estimate or...

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