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Worksheets

Business Analytics

Total questions: 10

Worksheet time: 3mins

Name
Class
Date
1.

Multiple linear regression (MLR) is a __________ type of statistical analysis.

a)

univariate

b)

bivariate

c)

multivariate

d)

Non of the above

2.

A linear regression (LR) analysis produces the equation Y = 0.4X + 3. This indicates that:

a)

When Y = 0.4, X = 3

b)

When Y = 0, X = 3

c)

When X = 3, Y = 0.4

d)

When X = 0, Y = 3

3.

When writing regression formulae, which of the following refers to the predicted value on the dependent variable (DV)?

a)

Y

b)

Y (hat)

c)

X

d)

XX (hat)

4.

———- plot displays information as series of data points connected by straight lines.

a)

Bar

b)

Line

c)

Scatter

d)

Histogram

5.

—————- is about developing code to enable the machine to learn to perform tasks and its basic principle is the automatic modeling of underlying that have generated the collected data.

a)

Data Science

b)

Data Analytics

c)

Data Warehousing

d)

Data mining

6.

K- nearest neighbors algorithm is based on ————– learning

a)

Un- Supervised

b)

Supervised

c)

Association

d)

correlation

7.

Which of the following is NOT supervised learning ?

a)

PCA

b)

Decision Tree

c)

Linear Regression

d)

Naive Bayesian

8.

————-type of analytics descibes what happened in past

a)

Predictive

b)

Prescriptive

c)

Descriptive

d)

Probability

9.

—————– analysis estimates the relationship between single dependent variable and single independent variable

a)

Multiple regression

b)

Simple Regression

c)

Correlation

d)

Probability

10.

A perfect negative correlation is signified by ————-

A : 1 B : -1 C : 0 D : 2

a)

-0.001

b)

-1

c)

0

d)

-10