In: Statistics and Probability
The data below shows height (in inches) and pulse rates (in beats per minute) of a random sample of women. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using alphaequals0.05. Is there sufficient evidence to conclude that there is a linear correlation between height and pulse rate?
Full data set
|
||||||||||
---|---|---|---|---|---|---|---|---|---|---|
height (x) |
64.7 |
66.9 |
61.2 |
60.5 |
59.6 |
63.8 |
59.7 |
63.2 |
67.6 |
60.3 |
pulse rate (y) |
79 |
71 |
86 |
60 |
70 |
66 |
83 |
63 |
66 |
70 |
height (x) |
67.8 |
65.9 |
60.7 |
61.4 |
63.3 |
58.2 |
69.3 |
59.8 |
65.1 |
60.4 |
pulse rate (y) |
84 |
78 |
71 |
71 |
68 |
73 |
78 |
79 |
75 |
82 |
What are the null and alternative hypotheses?
A.
Upper H 0H0:
rhoρequals=0
Upper H 1H1:
rhoρgreater than>0
B.
Upper H 0H0:
rhoρequals=0
Upper H 1H1:
rhoρless than<0
C.
Upper H 0H0:
rhoρequals=0
Upper H 1H1:
rhoρnot equals≠0
D.
Upper H 0H0:
rhoρnot equals≠0
Upper H 1H1:
rhoρequals=0
Construct a scatterplot. Choose the correct graph below.
A.
64807290xy
A scatterplot has a horizontal x-scale from less than 64 to 80 in intervals of 2 and a vertical y-scale from less than 72 to 90 in intervals of 2. Twenty points are plotted with coordinates as follows: (60.5, 71); (61.5, 71); (63.5, 68); (58, 73); (60, 79); (60.5, 82); (59.5, 70); (59.5, 83); (63, 63); (60.5, 70); (61, 86); (60.5, 60); (64, 66); (64.5, 79); (66, 78); (67, 71); (68, 84); (67.5, 66); (69.5, 78); (65, 75). All horizontal coordinates are approximate.
B.
64807290xy
A scatterplot has a horizontal x-scale from less than 64 to 80 in intervals of 2 and a vertical y-scale from less than 72 to 90 in intervals of 2. Twenty points are plotted with coordinates as follows: (54, 65); (55, 68); (57, 66); (58, 69); (58, 71); (59, 70); (61, 72); (63, 76); (64, 74); (66, 78); (67, 77); (68, 75); (70, 79); (71, 80); (71, 82); (73, 80); (73, 84); (74, 83); (76, 88); (76, 85).
C.
64807290xy
A scatterplot has a horizontal x-scale from less than 64 to 80 in intervals of 2 and a vertical y-scale from less than 72 to 90 in intervals of 2. Twenty points are plotted with coordinates as follows: (52, 76); (52, 84); (52, 87); (53, 62); (53, 82); (53, 87); (56, 63); (56, 85); (58, 77); (63, 62); (64, 72); (65, 62); (65, 88); (69, 64); (69, 82); (70, 78); (74, 68); (76, 76); (77, 63); (77, 78).
D.
64807290xy
A scatterplot has a horizontal x-scale from less than 64 to 80 in intervals of 2 and a vertical y-scale from less than 72 to 90 in intervals of 2. Twenty points are plotted with coordinates as follows: (52, 86); (53, 84); (54, 79); (55, 82); (56, 82); (57, 82); (58, 78); (60, 80); (61, 77); (62, 76); (64, 78); (65, 72); (66, 75); (68, 70); (69, 73); (71, 68); (72, 70); (74, 67); (77, 62); (77, 65).
The linear correlation coefficient r is
nothing.
(Round to three decimal places as needed.)
The test statistic t is
nothing.
(Round to three decimal places as needed.)
The P-value is
nothing.
(Round to three decimal places as needed.)
Is there sufficient evidence to conclude that there is a linear correlation between the two variables?
A.
YesYes,
because the P-value is
lessless
than the significance level.
B.
YesYes,
because the P-value is
greatergreater
than the significance level.
C.
NoNo,
because the P-value is
greatergreater
than the significance level.
D.
NoNo,
because the P-value is
lessless
than the significance level.
The Given Data is:
Height(x) | Pulse Rate(y) |
64.7 | 79 |
66.9 | 71 |
61.2 | 86 |
60.5 | 60 |
59.6 | 70 |
63.8 | 66 |
59.7 | 83 |
63.2 | 63 |
67.6 | 66 |
60.3 | 70 |
67.8 | 84 |
65.9 | 78 |
60.7 | 71 |
61.4 | 71 |
63.3 | 68 |
58.2 | 73 |
69.3 | 78 |
59.8 | 79 |
65.1 | 75 |
60.4 | 82 |
(a) What are the null and alternative hypotheses?
Answer is option B.
Upper H 0H0:
rhoρequals=0
Upper H 1H1:
rhoρless than<0
(b) Construct a scatterplot. Choose the correct graph below.
Here, I plot the scatterplot by using excel scatterplot and output is as below:
The linear correlation coefficient r is
0.053 |
The test statistic t is
0.226 |
The P-value is
0.824 |
Is there sufficient evidence to conclude that there is a linear correlation between the two variables?
Answer is C option.
NoNo,
because the P-value is
greatergreater
than the significance level.
Explanation: I have got these results by using Excel>Megastat>Regression.
Here is the output:
Regression Analysis | ||||||
r² | 0.003 | n | 20.000 | |||
r | 0.053 | k | 1.000 | |||
Std. Error | 7.482 | Dep. Var. | Pulse Rate(y) | |||
ANOVA table | ||||||
Source | SS | df | MS | F | p-value | |
Regression | 2.863 | 1.000 | 2.863 | 0.051 | 0.824 | |
Residual | 1007.687 | 18.000 | 55.983 | |||
Total | 1010.550 | 19.000 | ||||
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=18) | p-value | 95% lower | 95% upper |
Intercept | 66.166 | 33.137 | 1.997 | 0.061 | -3.452 | 135.783 |
Height(x) | 0.119 | 0.526 | 0.226 | 0.824 | -0.985 | 1.223 |