Correlation Coefficient and Mean Score

The correlation coefficient:
Select one:
a.
makes the scatterplot redundant
b.
should be interpreted alongside the relevant scatterplot
c.
can be expressed as a percentage
d.
All of the above
What is the mean score of 79, 87, 81, 86, and 91?
Select one:
a.
89
b.
87
c.
80
d.
88.4
e.
84.8
How much more variation is shared by two variables if the Pearson correlation coefficient
between them is 0.4 than if it is -0.2?
Select one:
a.
Twice as much
b.
Four times as much
c.
Three times as much
d.

A third
Clear my choice
Which of the following indicates the strongest relationship?
Select one:
a.
r = .09
b.
r = - .6
c.
r = .5
d.
r2 = .2
Suppose that a random sample of n = 5 was selected from the vineyard properties for sale in
Sonoma County, California, in each of three years. The following data are consistent with
summary information on price per acre for disease-resistant grape vineyards in Sonoma
County. Carry out an ANOVA to determine whether there is evidence to support the claim
that the mean price per acre for vineyard land in Sonoma County was not the same for each
of the three years considered. Test at the 0.05 level and at the 0.01 level.
1996: 30000 34000 36000 38000 40000
1997: 30000 35000 37000 38000 40000
1998: 40000 41000 43000 44000 50000
Answer:
Null hypothesis (H0): There is no significant difference in the mean price per acre for
vineyard land was not the same for each of the three years considered
Alternative hypothesis (H1): There is a significant difference in the mean price per acre for
vineyard land was not the same for each of the three years considered
At 0.05 level

Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
1996 5 178000 35600 14800000
1997 5 180000 36000 14500000
1998 5 218000 43600 15300000
ANOVA