Question

The data below consists of the temperatures on randomly chosen days and the amount of growth (in millimeters) of a Tropical Hibiscus. Use linear regression to find a linear function that predicts a plant's growth as a function of temperature. Temperature 62 76 50 51 71 46 51 44 79 Growth 36 39 25 23 36 20 23 18 42 Round all values to the nearest hundredth (2 decimal places). Linear regression ($y \sim mx + b$) $y \sim$ (no spaces) What kind of growth would would expected on a day with a temperature of 85 degrees Fahrenheit. (rounded to the nearest tenth)

          The data below consists of the temperatures on randomly chosen days and the amount of growth (in millimeters) of a Tropical Hibiscus. Use linear regression to find a linear function that predicts a plant's growth as a function of temperature.
Temperature 62
76
50
51
71
46
51
44
79
Growth
36
39
25
23
36
20
23
18
42
Round all values to the nearest hundredth (2 decimal places).
Linear regression ($y \sim mx + b$) $y \sim$
(no spaces)
What kind of growth would would expected on a day with a temperature of 85 degrees Fahrenheit. (rounded to the nearest tenth)

The data below consists of the temperatures on randomly chosen days and the amount of growth (in millimeters) of a Tropical Hibiscus. Use linear regression to find a linear function that predicts a plant's growth as a function of temperature.
Temperature 62
76
50
51
71
46
51
44
79
Growth
36
39
25
23
36
20
23
18
42
Round all values to the nearest hundredth (2 decimal places).
Linear regression (y ∼ mx + b) y ∼
(no spaces)
What kind of growth would would expected on a day with a temperature of 85 degrees Fahrenheit. (rounded to the nearest tenth)

Added by Patricia P.

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