![]() Since we are trying to calculate the square root of a negative number, we will get #NUM error in Excel. In this example, we are trying to find the square root of -3. As shown, other smaller values are calculated and shown in C8 and C9.Įxcel returns the #NUM! Error when it is faced with a calculation that is impossible to do.Īs you can see, the square root or log of the positive numbers has results but the square root or log of the negative numbers is impossible to calculate. ![]() Since this will be a very small number Excel cannot perform calculations and hence returns #NUM error.Įxcel is not able to show these values because of its inherent limitations. ![]() In cell C10, we are trying to divide 1 by 10^750. The result will be a really large number that Excel is unable to display. If you enter a number is too large or too small,you will get Excel #NUM Error.Īs you can see, in cell C7 we are trying to multiply 5 by itself 500 times. We will start with determining the P-value for tail 1 or in one direction.Let’s look into more detail and understand the causes and solutions to the #NUM! Excel.Įxcel has a limitation to the size of the number that it can display. In this section, we will be using the T.TEST function to determine the P values for tails 1 and 2. Method-2: Using T.TEST Function to Calculate P Value in Linear Regression in Excel Read More: How to Interpret Linear Regression Results in Excel (with Easy Steps) Moreover, we can see that for the Alpha value of 0.05 we are getting the P values less than 0.05 which means it neglects the null hypothesis and so the data is highly significant. Because the two-tail P-value considers both the increase and decrease of the marks whereas the one-tail P-value considers only one of these cases. We can see the one-tail P-value is half times the two-tail P-value. ➤ You can change the value for Alpha from 0.05 (automatically generated) to 0.01 because the designated value for this constant is generally 0.05 or 0.01.Īfter that, you will get the P-value for two cases the one-tail value is 0.00059568 and the two-tail value is 0.0011913. ➤ As Input we have to provide two variable ranges $C$4:$C$11 for Variable 1 Range and $D$4:$D$11 for Variable 2 Range, as Output Range we have selected $E$4. ➤ Select the option t-Test: Paired Two Sample for Means from different options of Analysis Tools.Īfter that, the t-Test: Paired Two Sample for Means dialog box will open up. Then, the Data Analysis wizard will appear. ➤ Now, go to the Data Tab > Analysis Group > Data Analysis Option. ➤ Check the Analysis ToolPak option and press OK. ➤ Choose the Excel Add-ins option in the Manage box and then press Go.Īfterward, the Add-ins dialog box will pop up. ➤ Select the Add-ins option on the left panel. ![]() If you didn’t activate the data analysis tool then first enable this toolpak at first.Īfter that, the Excel Options dialog box will appear. Here, we will use the analysis toolpak containing the t-Test analysis tool to determine the P-value for these two sets of sales data. Method-1: Using ‘t-Test Analysis Tool’ to Calculate P Value We have used Microsoft Office 365 version here, you can use any other versions according to your convenience. The null hypothesis reckons there is no difference between the two types of sales values and the alternative hypothesis will consider differences between these two sets of values. We will compare these sales values and determine the probability value and then we will determine if P supports the null hypothesis or the alternative hypothesis. Here, we have some predicted sales values and actual sales values of some of the products of a company. 3 Ways to Calculate P Value in Linear Regression in Excel
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