The accompanying table shows the number of bacteria present in a certain culture over a 5 hour period, where x is the time, in hours, and y is the number of bacteria.Write an exponential regression equation for this set of data, rounding all coefficients to the nearest thousandth. Using this equation, determine the number of bacteria present after 12 hours, to the nearest whole number. Hours (x) Bacteria (y) 664 1 793 940 3 1086 4. 1371 1636

Q: alyze the relationship between the hourly earnings and years of schooling.                    The…

A: Here we have to calculate prediction error. Prediction error can be defined as difference between…

Q: number of situps a person can do (y). The results of the regression were: y-ax+b a--1.091 b-33.551…

A: regression equation : y = ax + b y = -1.091x + 33.551

Q: A regression was run to determine if there is a relationship between hours of TV watched per day,…

A: We have given that a= -1.215 b= 23.457 Since we know that regression equation is given by ŷ = ax + b…

Q: The following table shows the mass of an object recorded over time. Time (min) Mass (g) 19 30 24…

A:

Q: A regression was run to determine if there is a relationship between hours of TV watched per day,…

A: We know the regression equation- y = a x + b Here y = Number of sit-ups x = TV watched per day b =…

Q: If a multiple regression model has the following equation Y =6-9x For each 1 increase in X, Y will

A: Interpretation of slope: Here slope = -9

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: From the provided information, The results of the regression were: y = ax + b a = -1.346 b = 34.703…

Q: Determine the logarithmic regression of the data below using either a calculator or spreadsheet…

A: Tabulate the data set in excel as: X Y 1 56 3 40 5 32 7 25 9 18 11 10 13 7 15 2…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: 28.0 Explanation:The regression equation is given asy=ax+bwherea is the slope of the line, andb is…

Q: Interpret the regression coefficient of X3 in relation to the Y ( X3 unit is mile)  Y =  58.286 +…

A: The regression coefficient of X3 is given by 13.7604

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Defined : The regression line: y =-0.904x+39.953

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: The value of a is -0.96 and the value of b is 35.944.

Q: Interpret the answer in the context of the subject matter. What is the p-value of the significance…

A:

Q: Given: (0, 3.0), (2, 20.6), (4, 72.8), (6, 236.5), (8, 714.0), (10, 2209.7) Use the regression…

A: Given

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: A linear regression model corresponds to a linear regression model that minimizes the sum of squared…

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.