#Data analysis regression excel 2013 how to

Our Linear Regression Equation is = x*0.06 + (-1.11). Step 3: Find the Intercept of Regression LineД®xcel function for the intercept is = INTERCEPT(known_yвЂ™s, known_xвЂ™s) Round up to 2 decimal digits and you will get 0.06. ( Note: Slope is also called coefficient of x in the regression equation) In cell B16, write the formula below =SLOPE(B2:B12, C2:C12) Your known_yвЂ™s are in range B2:B12 and known_xвЂ™s are in range C2:C12 Step 2: Find the slope of the regression lineД®xcel Function for slopes is =SLOPE(known_yвЂ™s,known_xвЂ™s) These are some important data analytics tools. If you want, I will prepare a separate tutorial for that.

#Data analysis regression excel 2013 how to

You do not need to learn how to find the slope and intercept it manually. DonвЂ™t worry, excel has functions for them. Now you must be wondering where the stat will you get the slope and intercept. The predicted y (number of salesmen) also called Regression Equation, would be x* Slope+ Intercept (relax, IвЂ™ve got it covered) We need to predict the required number of salesmen for all 11 cases to get the 12th closest prediction. The вЂњSimpleвЂќ Math of Linear Regression Equation: If we want to know how many soft drinks will be sold if we appoint 200 salesmen, then the scenario will be vice-versa. In our case, soft drinks are sold x and the number of salesmen is y. The independent variable is mostly denoted as x and dependent variable as y. So here, the dependent variable is the number of salesmen and the independent variable is sold soft drinks. You want to know the number of salesmen required to achieve 2000 sales. Now letвЂ™s compare this with your scenario. And the independent variable is often pronounced as a Driving, Predictor or simply Independent variable. The dependent variable is often called by names such as Driven, Response, and Target variable. Where one variable depends on the other independent variable.

The study of the relationship between two variables is called Simple Linear Regression. This part will make you understand regression better than just telling excel regression procedure. REGRESSION ANALYSIS USING EXCEL FUNCTIONS (MANUAL REGRESSION FINDING)

To do so, we need to know Regression first. The regression equation is a tool to make such close estimates. Now based on this data you want to predict the number of salesmen required to achieve 2000 sales of soft drinks. You have 11 records of salesmen and soft drinks sold.

And how can you increase your sales by changing your strategy?.

How many soft drinks will be sold next year based on previous year's data?.

REGRESSION ANALYSIS USING EXCELвЂ™S ANALYSIS TOOLPAK ADD-IN.

REGRESSION ANALYSIS USING EXCEL FUNCTIONS (MANUAL REGRESSION FINDING).

To predict future estimates, we will study: We are into numbers and we will learn regression analysis in Excel today. Want to predict the future? No, we are not going to learn astrology.

Regression is an Analysis Tool, which we use for analyzing large amounts of data and making forecasts and predictions in Microsoft Excel.