x              y          1            771          2            760          3            787          4            766          5            833          6            878   Use linear regression to find the equation for the linear function that best fits this data. Round to two decimal places. y =

Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y= mx +b X y 1 92 2 110 4 5 3 139 160 171 6 196

Given the data points listed below, use linear regression to find the expression y = %3D mx + b. List the slope of the best-fit line in the box below (round to one digit past the decimal point). y 2 2 3 15 5 14 8 55 |13 68 15 121

The table shows the approximate chirping rate at various temperatures for one type of cricket. Use the linear regression feature on a graphing calculator to determine an equation of the line that best fits the data. Round to the hundredths. ⒸEncikAn/Shutterstock.com X Temperature (°F) 50 60 70 80 100 Chirps per Minute 20 80 115 150 250

The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted​ value?   Chirps in 1 min 924 1150 840 1166 1087 930   Temperature ​(°​F) 77.5 84.6 74.1 91 79.6 79.7 What is the regression​ equation? What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per​ minute? What is wrong with this predicted​ value? Choose the correct answer below. A. It is unrealistically high. The value 3000 is far outside of the range of observed values. B. The first variable should have been the dependent variable. C. It is only an approximation. An unrounded value would be considered accurate. D. Nothing is wrong with this value. It can be…

The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted​ value? Chirps in 1 min  1118  796  1161  918  1103  1219 Temperature (F)   82    72.2   92.2   73   87.5   94.4

Use linear regression to find the equation for the linear function that best fits this data. Click Read Button For online regression calculator.  Round both numbers to two decimal places. Write your final answer in a form of an equation   y=mx+by=mx+b  x 1 2 3 4 5 6 y 74 90 109 123 143 155

Two variables  are defined, a regression equation is given, and one data point is given.    Study = number of hours spent studying for an exam                                                             Grade = grade on the exam                                                                                                                                                                                                                                                          GRADE= 41.0 + 3.7 (STUDY)                                                                                                                                                                                                                THE DATA POINT IS A STUDENT WHO STUDIED 10 HOURS AND RECIEVED AN 81 ON THE EXAM…