1) Hours of Study: 2, 2.5, 3, 4.5, 5................... Test Score: 86, 80, 85, 90, 96
According to a line of best fit for the data, what is the predicted test score of a student who sudied 1 hour for the test?
a) 75
b) 78
c) 81
d) 84
2) The equation y=0.117x+39,905 models the relationship where x is the total population of a state, and y is the number of people aged 65 years or older in a state. Suppose the difference in total population b/w two states is one million. According to the equation, what is the expected difference in number of people aged 65 or older?
a) 39,905
b) 117,000
c) 0.117(39,905)
d) 39,905/0.117
According to a line of best fit for the data, what is the predicted test score of a student who sudied 1 hour for the test?
a) 75
b) 78
c) 81
d) 84
2) The equation y=0.117x+39,905 models the relationship where x is the total population of a state, and y is the number of people aged 65 years or older in a state. Suppose the difference in total population b/w two states is one million. According to the equation, what is the expected difference in number of people aged 65 or older?
a) 39,905
b) 117,000
c) 0.117(39,905)
d) 39,905/0.117
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b , b