Anthony plants flowers from seed and each day measures the height of the flowers compared to the soil line. He records his measurements in a scatter plot. Anthony calculates the equation of the least squares regression line:

Predicted Height =0.56 ·
=
0.56
·
Days in Soil − 3.16
-
3
.
16

Use the drop-down menus to complete the statements below about what this linear model tells you about the height of a flower.

Math item stem image
CLEAR CHECK
The slope of the least squares regression line is .

The units of the slope of the line are .

The slope of the line tells you that for each new day you can predict that a flower's height will by about centimeters.

The
y
-intercept of the least squares regression line is .

The units of the
y
-intercept of the line are .

y
-intercept of the line tells you the .

When you have 25 numbers, and jake picks 3 random numbers and puts them back, what is the chance bob has of picking those 3 numbers when he picks 6 random numbers (without putting them back)? explain.

Questions 9-10. use the table of educational expenditures to answer the questions. k-12 education expenditures population indiana $9.97 billion 6.6 million illinois $28.54 billion 12.9 million kentucky $6.58 billion 4.4 million michigan $16.85 billion 9.9 million ohio $20.23 billion 11.6million 9. if the amount of k-12 education expenses in indiana were proportional to those in ohio, what would have been the expected value of k-12 expenditures in indiana? (give the answer in billions rounded to the nearest hundredth) 10. use the value of k-12 education expenditures in michigan as a proportion of the population in michigan to estimate what the value of k-12 education expenses would be in illinois. a) find the expected value of k-12 expenditures in illinois if illinois were proportional to michigan. (give the answer in billions rounded to the nearest hundredth) b) how does this compare to the actual value for k-12 expenditures in illinois? (lower, higher, same? )

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