Simple linear regression

A regression analysis between only two variables, one dependent and the other explanatory.

Simple Linear Regression

In statistics, the analysis of variables that are dependent on only one other variable. Regression analysis uses regression equations, which shows the value of a dependent variable as a function of an independent variable. For example, a simple regression equation could take the form:

y = a + bx

where y is the dependent variable and x is the independent variable. In this case, the slope is equal to b and a is the intercept. When plotted on a graph, y is determined by the value of x. Regression equations are charted as a line and are important in calculating economic data and stock prices. See also: Multiple regression.

References in periodicals archive ?

Table 7 also shows a summary of a simple linear regression for the effect of OJ on conscientiousness.

THE EFFECT OF ORGANIZATIONAL JUSTICE ON ITS CITIZINSHIP BEHAVIOR AMONG SALES PERSONNEL IN THE BANKING SECTOR IN JORDAN

01 level (Table-1), (3) analysis of variance (ANOVA) of regression analysis (Table 2), (4) simple linear regression lines with R2 values (Fig.

Estimation of Physico-Chemical Characteristics of Suspended Particulate Matter (SPM) at Construction Sites: A Statistical Regression-Based Model

961 Figure 1: Assumed Data Set: Simple Linear Regression Model A B C Monthly Total Vehicle Deliveries Expense 1 Month (XI) (Y) 2 1 5,882 $145,329 3 2 5,557 133,245 4 3 5,166 123,245 5 4 6,621 164,295 6 5 6,433 163,937 7 6 6,681 176,229 8 7 7,182 180,553 9 8 6,577 177,293 10 9 5,942 155,389 11 10 5,622 150,832 12 11 5,599 152,993 13 12 7,433 201,783 Figure 4: Output from Applying Regression Routine to Data SUMMARY OUTPUT Regression Statistics Multiple R 0.

Using excel 2013 for regression-based cost estimation: Part 1

True phosphorus digestibility and the endogenous phosphorus outputs associated with brown rice for weanling pigs measured by the simple linear regression analysis technique.

Methodologies for the determination of endogenous phosphorus losses in growing pigs

Simple linear regression of relative condition factors ([K.

Emaciated black drum (Pogonias cromis) in the upper Laguna Madre, Texas: tracking the recovery of the population over two years

In simple linear regression analyses LAD was significantly associated with U-tAs, 35-70 ng/mL (1.

Blood pressure, left ventricular geometry, and systolic function in children exposed to inorganic arsenic

3] showed that there was a linear relationship between plant weight and fruit weight by using simple linear regression analysis.

STATISTICAL MODEL AND PREDICTION OF PINEAPPLE PLANT WEIGHT

25 in the simple linear regression models are shown in bold and were chosen for backward stepwise multiple linear regression analysis.

Factors associated with dietary diversity score among individuals with type 2 diabetes mellitus

In a simple linear regression, GV was negatively associated with the number of days NPO without PN (p=0.

Birth weight recovery among very low birth weight infants surviving to discharge from Charlotte Maxeke Johannesburg Academic Hospital

In this section we will define the simple linear regression in neutrosophic set.

Neutrosophic correlation and simple linear regression

The tool used to find the coefficients "m" and "b" is simple linear regression.

A new formula to predict a team's winning percentage

This variable (individual factors), in general was studied by simple linear regression, and following results were obtained:

Individual and organizational factors influencing innovation of manager: evidence from banks of Golestan province