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? | 1184 1215 1211 834 958 997 O Chirps in 1 min Temperature ("F) 84.6 88.1 88.4 73.5 81.7 80.1 What is the regression equation? (Round the x-coefficient four decimal places as needed. Round the constant to two decimal places as needed.) What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? The best predicted temperature when a bug is chirping at 3000 chirps per minute is°F. (Round to one decimal place as needed.) What is wrong with this predicted value? Choose the correct answer below. O A. It is unrealistically high. The value 3000 is far outside of the range of observed values. O B. The first variable should have been the dependent variable. OC. It is only an approximation. An unrounded value would be considered accurate. O D. Nothing is wrong with this value. It can be treated as an accurate prediction.

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? | 1184 1215 1211 834 958 997 O Chirps in 1 min Temperature ("F) 84.6 88.1 88.4 73.5 81.7 80.1 What is the regression equation? (Round the x-coefficient four decimal places as needed. Round the constant to two decimal places as needed.) What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? The best predicted temperature when a bug is chirping at 3000 chirps per minute is°F. (Round to one decimal place as needed.) What is wrong with this predicted value? Choose the correct answer below. O A. It is unrealistically high. The value 3000 is far outside of the range of observed values. O B. The first variable should have been the dependent variable. OC. It is only an approximation. An unrounded value would be considered accurate. O D. Nothing is wrong with this value. It can be treated as an accurate prediction.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

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
Temperature (°F)
1184 1215 1211
834
958
997
84.6 88.1 88.4 73.5
81.7
80.1
What is the regression equation?
y =
(Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute?
The best predicted temperature when a bug is chirping at 3000 chirps per minute is
°F.
(Round to one decimal place as needed.)
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 treated as an accurate prediction.
Click to select your answer(s).
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Save 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 776 1173 1034 951 975 1214 D Temperature (°F) 70.1 89 77.4 76.2 77 92.6 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) Incorrec ary ns
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