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**Unformatted text preview: **The data used to create the JMP output is for 224 students who entered a university in a particular year and were planning to major in computer science. The GPA variable is the student’s cumulative grade point average after three semesters. The HSM variable is the student’s high school math grade, with 10 representing an “A”, 9 an “A-“, and so on. The SATM variable is the student’s SAT math score. Data analysis: individual variables . Describe the distribution of each variable: GPA: Mound shaped and approximately symmetric (slightly skewed to the left) with a mean of 2.64 and a standard deviation of 0.78. [Range from 0.12 to 4.0] HSM: Skewed to the left with MIN=2, Q1=7, M=9, Q3=10, and MAX=10 SATM: Mound shaped and symmetric with a mean of 595.3 and standard deviation 86.4. [Range from 300 to 800] Data analysis: pairs of variables . Describe the relationship between each pair of variables: GPA and HSM: FORM: linear, DIRECTION: positive, STRENGTH: r = 0.44 (moderate) GPA and SATM: FORM: linear, DIRECTION: positive, STRENGTH: r = 0.25 (weak) SATM and HSM: FORM: linear, DIRECTION: positive, STRENGTH: r = 0.45 (moderate) Calculate the slope and intercept of the least-squares regression line for GPA vs. SATM: 0023 ....

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