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?

MATLAB: An Introduction with Applications
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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? 

 

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