The paired data below consists of test scores and hours of preparation for 5 randomly selected students. X = HOURS 5 2 9 6 10 Y = GRADE 64 48 72 73 80 n=5 x-values = 32 y-values = 337 x-squared values = 25+4+81+64+100 = 274 y-squared values = 4096+2304+5184+5329+6400 = 23313 sum of (xy) values = 320+96+648+438+800 = 2302 Using a 0.05 level of significance, test the claim that there is a linear correlation between x and y. Ho and H1 The value of r, the test statistic from part 1 above The critical value Your decision to reject Ho or accept Ho Find the linear regression line for this data. m, the slope b, the y-intercept Your regression line written in y = mx + b form, with m and b rounded to three decimal places If a student prepared for 2.25 hours, what would his corresponding test grade be?
X = HOURS |
5 |
2 |
9 |
6 |
10 |
Y = GRADE |
64 |
48 |
72 |
73 |
80 |
n=5
x-values = 32
y-values = 337
x-squared values = 25+4+81+64+100 = 274
y-squared values = 4096+2304+5184+5329+6400 = 23313
sum of (xy) values = 320+96+648+438+800 = 2302
Using a 0.05 level of significance, test the claim that there is a
Ho and H1
The value of r, the test statistic from part 1 above
The critical value
Your decision to reject Ho or accept Ho
Find the linear regression line for this data.
m, the slope
b, the y-intercept
Your regression line written in y = mx + b form, with m and b rounded to three decimal places
If a student prepared for 2.25 hours, what would his corresponding test grade be?
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