 Hello and welcome to the session. In this session we will discuss a question which says that the following table shows number of visitors in a museum for the month of October from the year 1995 to 1999. Now we have to draw the line of best fit for this data and with the help of the graph we have to predict how many visitors visited in the year 2000 according to the trend. Now let us start with the solution of the given question. Now in this question we are given a table showing the number of visitors from the year 1995 to the year 1999. So let us draw a scatter plot for the given data and here we will take number of visitors on vertical axis and on horizontal axis we will take the years and here on the vertical axis that is y axis we have taken a scale of 200 and on the horizontal axis we take the years as 1995, 1996 and so on up to 2000. Now here we have to make prediction. So we have increased number of years. Now let us plot all these ordered pairs on this graph. Now here this is the point which represents the ordered pair 1995, 906. Similarly we will plot the other ordered pairs also. So we have plotted all the ordered pairs on the graph and hence we obtain a scatter plot for this given data. Now let us draw the line of fit. So here we have drawn a line which is close to almost all the points. Now this line is moving downwards so there exists a negative relationship between the years, number of visitors. Here you can see that with each passing year the number of visitors has decreased in the month of October. Now from the graph we have to predict that how many visitors visited in the year 2000. For this we will draw a vertical line from the year 2000 to the line of fit where we will see the corresponding value on y axis. So here corresponding to the year 2000 this point represents the value on y axis. So number of visitors in the year are around 450. And this is the solution of the given question. That's all for this session. Hope you all have enjoyed this session.