Ch 3 - Linear Regression

According to the first three dataset, which dataset can use regression method

• wage dataset

• gene dataset

• stock market dataset

What the difference between Wage Dataset, Stock Market Dataset, Gene Expression Dataset

• Wage Dataset can be used to predict man's wage.

  Stock Market Dataset to predict stock performance.

  Gene Expression Dataset to cluster their characteristic

• Wage using regression.

  Stock market using classification.

  Gene expression using clustering.

• Wage and Stock market data have input and output variabel. Gene expression does not have

• Wage and Stock market data does not have input and output variabel. Gene expression have

What is linear regression?

This statistical technique is used to determine the influence of one or more independent variables (X) on one dependent variable (Y), called

• Determination

• Correlation

• Regression

• Hypothesis

What is a statistical tool to determine the magnitude of the relationship between 2 variables called?

• Determination

• Correlation

• Regression

• Hypothesis

The Linear Regression Equation is

• Y = B0 + B1.X

• Y = B0.X + B1

Based on the Linear Regression, which are true about slope and intercept

• B0 is intercept, B1 is slope

• B0 is slope, B1 is intercept

• The slope represents the change in the dependent variable for a one-unit change in the independent variable, and the intercept represents the value of the dependent variable when the independent variable is zero.

• The slope represents the change in the independent variable for a one-unit change in the dependent variable, and the intercept represents the value of the independent variable when the dependent variable is zero.

• Slope referts to variable

What does the variable r2 = 0 mean in linear regression?

• The coefficient of determination is used to determine the percentage

• The independent variables X1 and X2 cannot explain the variation in the dependent variable y in the slightest

• Independent variable that can explain variations in the dependent variable y

• independent variables X1 and X2 which can explain variations in the dependent variable y

If the value (r square) is 98% then what is the meaning

• The independent variable is able to explain the dependent variable by 98%, while 2% is explained by other factors in the model

• The independent variable is unable to explain the dependent variable by 98%, while 2% is explained by other factors outside the model

• The independent variable is able to explain the dependent variable by 98%, while 2% is explained by other factors outside the model

• Can't explain it at all

Universitas Yarsi wants to know the success of its alumni by looking at the relationship between the salary they receive and their GPA and length of study. For this purpose, a survey was conducted of 40 alumni in 20 companies in 2022. From this question, which is the dependent variable?

• Length of Study

• Large salary received

• GPA

• Length of study and GPA