In regression analysis if the independent variable is measured in kilograms the dependent variable
Answers
Answer:
When doing a regression analysis, if the independent variable is measured in kilogrammes, the dependent variable must likewise be measured in kilogrammes. It cannot be measured in kilogrammes and must instead be measured in another unit of weight.
Step-by-step explanation:
Step 1: A mass scale is used to determine an object's weight. For instance, when you stand on a scale, you are determining the mass of your body. The gramme and kilogramme are the most used units of mass in the metric system of measurement.
Step 2: Researchers can anticipate or explain variation in one variable based on another one using regression. Defined terms: The response variable is the one that scientists are attempting to predict or explain. Because it is reliant on another variable, it is also sometimes referred to as the dependent variable.
Step 3: In an experiment, the researcher manipulates the independent variable to determine the impact of the changes on the dependent variable. Keep in mind that when the independent variable is changed, the effect on the dependent variable is always assessed.
Learn more about similar questions visit:
https://brainly.in/question/18646035?referrer=searchResults
https://brainly.in/question/34726020?referrer=searchResults
#SPJ3
Answer:
When doing a regression analysis, if the independent variable is measured in kilograms, the dependent variable must likewise be measured in kilograms. It cannot be measured in kilograms and must instead be measured in another unit of weight.
Step-by-step explanation:
Regression is a statistical method used in finance, investing, and other disciplines that attempts to determine the strength and character of the relationship between one dependent variable (usually denoted by Y) and a series of other variables (known as independent variables).
Also called simple regression or ordinary least squares (OLS), linear regression is the most common form of this technique. Linear regression establishes the linear relationship between two variables based on a line of best fit. Linear regression is thus graphically depicted using a straight line with the slope defining how the change in one variable impacts a change in the other. The y-intercept of a linear regression relationship represents the value of one variable when the value of the other is zero. Non-linear regression models also exist, but are far more complex.
Regression analysis is a powerful tool for uncovering the associations between variables observed in data, but cannot easily indicate causation. It is used in several contexts in business, finance, and economics. For instance, it is used to help investment managers value assets and understand the relationships between factors such as commodity prices and the stocks of businesses dealing in those commodities.
When doing a regression analysis, if the independent variable is measured in kilogram the dependent variable must likewise be measured in kilograms. It cannot be measured in kilograms and must instead be measured in another unit of weight.
Step 1: A mass scale is used to determine an object's weight. For instance, when you stand on a scale, you are determining the mass of your body. The gramme and kilogram are the most used units of mass in the metric system of measurement.
Step 2: Researchers can anticipate or explain variation in one variable based on another one using regression. Defined terms: The response variable is the one that scientists are attempting to predict or explain. Because it is reliant on another variable, it is also sometimes referred to as the dependent variable.
Step 3: In an experiment, the researcher manipulates the independent variable to determine the impact of the changes on the dependent variable. Keep in mind that when the independent variable is changed, the effect on the dependent variable is always assessed.
https://brainly.in/question/13574583
#SPJ3