In: Math
The SAT and the ACT are the two major standardized tests that colleges use to evaluate candidates. Most students take just one of these tests. However, some students take both. The data data5.dat gives the scores of 60 students who did this. How can we relate the two tests?
(a) Plot the data with SAT on the x axis and ACT on the
y axis. Describe the overall pattern and any unusual
observations.
(b) Find the least-squares regression line and draw it on your
plot. Give the results of the significance test for the slope.
(Round your regression slope and intercept to three decimal places,
your test statistic to two decimal places, and your
P-value to four decimal places.)
ACT = | + (SAT) |
t = | |
P = |
(c) What is the correlation between the two tests? (Round your
answer to three decimal places.)
obs sat act 1 950 17 2 719 19 3 648 17 4 905 22 5 1263 29 6 995 25 7 1184 25 8 672 13 9 882 17 10 1082 21 11 875 17 12 951 20 13 1045 22 14 679 19 15 794 18 16 722 16 17 1227 28 18 746 14 19 1145 27 20 716 19 21 1208 28 22 950 21 23 890 23 24 761 17 25 969 17 26 647 11 27 857 21 28 991 21 29 798 17 30 666 14 31 761 19 32 660 20 33 631 16 34 1121 26 35 978 26 36 883 18 37 807 18 38 895 19 39 1184 23 40 869 17 41 582 14 42 1070 20 43 642 16 44 937 23 45 1086 27 46 1013 26 47 713 19 48 1144 25 49 990 24 50 878 16 51 870 26 52 1090 27 53 1095 26 54 781 19 55 1046 21 56 675 13 57 1257 25 58 1099 27 59 620 10 60 714 13
In excel select the data
Insert>scatter
You will get
click on axis title ,chart title
click on style to change it to required
you will get
Solution-b
In excel go to data>data analysis >regression
you will get
From regression
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.834051 | |||||
R Square | 0.695641 | |||||
Adjusted R Square | 0.690394 | |||||
Standard Error | 2.640571 | |||||
Observations | 60 | |||||
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 1 | 924.3216 | 924.3216 | 132.5645 | 1.29E-16 | |
Residual | 58 | 404.4117 | 6.972616 | |||
Total | 59 | 1328.733 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 1.302955 | 1.679134 | 0.775968 | 0.44092 | -2.0582 | 4.664107 |
sat | 0.021023 | 0.001826 | 11.51367 | 1.29E-16 | 0.017368 | 0.024678 |
From output:
ACT=1.303+0.021*SAT
t=11.51
p=0.0000
Solutionc:
In excel
go to data>data analysis >correlation
From correlation matrix you get r=0.834
sat | act | |
sat | 1 | |
act | 0.834051 | 1 |
ANSWER:
r=0.834