Reference no: EM132581376

1) The following table presents the test scores on the first (x) and second (y) exams in a Biology class.

x. 45. 54. 45. 55. 59. 49

y. 55. 48 46. 64. 69. 55

The least-squares regression line is in the form y = b₀ + b₁x. Compute the value of b₁. That is, compute the slope. Round your answer to two decimal places. Write only a number as your answer.

2) The following table number of absences (x) and the grade earned on the first exam (y) for a Statistics class.

x. 3. 5 2. 6. 5. 8

y. 93. 76. 91. 54 84. 44

The least-squares regression line is in the form y = b₀ + b₁x. Compute the value of b₀. That is, compute the intercept. Round your answer to two decimal places. Write only a number as your answer.

3)The common cricket can be used as a crude thermometer. The colder the temperature, the slower the rate of chirping. The table below shows the average chirp rate of a cricket at various temperatures. 

Chirp Rate (chirps/second) Temperature (ºF)

2.6 60.2

1.1 40.4

1.5 49.4

1.6 41.9

2.1. 51.5

1.8 55.7

Compute the least-squares regression line for predicting the temperature from the chirp rate.