BUAN201-UGSEM4B-2024/25S2-Data Mining for Business Intelligence
Looking for BUAN201-UGSEM4B-2024/25S2-Data Mining for Business Intelligence test answers and solutions? Browse our comprehensive collection of verified answers for BUAN201-UGSEM4B-2024/25S2-Data Mining for Business Intelligence at lms.flame.edu.in.
Get instant access to accurate answers and detailed explanations for your course questions. Our community-driven platform helps students succeed!
Given the simple dataset:
| Hours Studied | Exam Score |
|---|---|
| 1 | 50 |
| 2 | 55 |
| 3 | 65 |
| 4 | 70 |
| 5 | 80 |
If the regression line is Score = 6x + 45, what would be the predicted score for a student who studied 6 hours?
Which of the following statements about data frames in R is TRUE?
In the provided R code, what does the geom_smooth(method = "lm") line in the ggplot2 visualization do?
In an R linear regression model output, you see this result for the p-value of your independent variable (house_size):
Coefficients: Estimate Std. Error t value Pr(>|t|)
(Intercept) 30.0000 5.0000 6.000 0.0082
house_size 0.1200 0.0030 40.000 0.0001 ***
What does the p-value of 0.0001 for house_size imply in the context of the model?
In the context of linear regression, R-squared (R²) is used to:
What type of problem is logistic regression best suited for?
Which of the following statements about logistic regression is true?
In R, what will be the output of the following code?
x <- c(5, 10, 15)y <- c(1, 2, 3)
result <- x > y
print(result)
Given the following R code:
my_list <- list(Name = "Alex", Age = 29, Skills = c("R", "Python"))print(my_list$Skills[2])What will be printed?Which of the following R functions is used to create a Linear Regression Model?
Want instant access to all verified answers on lms.flame.edu.in?
Get Unlimited Answers To Exam Questions - Install Crowdly Extension Now!