<prompt> Fumana mola o loketseng hantle bakeng sa sete e latelang ea data.2, 3, 4, 5, 5, 6, 7, 8  <response>: Instruction in English: Find the line of best fit for the following set of data. . Response in English: In order to find the line of best fit, also known as the least squares regression line, we can use the following formula: y mx b, where m is the slope and b is the y-intercept.We can calculate the slope m using the formula: m nΣxy - Σx Σy nΣ x2 - Σx2And calculate the y-intercept using the formula: b Σy - m Σxn, where n is the number of data points and Σ represents the sum.For the given set of data, n 4, Σx 2 4 5 7 18, Σy 3 5 6 8 22, Σxy 23 45 56 78 94, and Σ x2 22 42 52 72 94.Using the above formula, we can calculate m as follows: m 4 94 - 18 22 4 94 - 182 1We can now calculate b using the above formula: b 22 - 1 18 4 1.Thus, the equation for the line of best fit for the given set of data is y 1x 1, or y x 1. . Response in Sesotho: le ho fumana moeli o loketseng ka ho fetisisa, oo hape o tsejoang ka hore ke least squares regression line, re ka sebelisa mokhoa o latelang: y mx b, moo m e leng letsoapo me b e le y-intercept. Re ka bala moepa oa m re sebelisa foromo: m nΣxy - Σx Σy nΣ x2 - Σx2 Me re bale y-intercept re sebelisa foromo: b Σy - m Σx n, moo n e leng palo ea lintlha tsa data mme Σ e emela kakaretso. Bakeng sa sehlopha se fanoeng sa data, n 4, Σx 2 4 5 7 18, Σy 3 5 6 8 22, Σxy 23 45 56 7 8 94, le Σ x2 22 42 52 72 94. Re sebelisa foromo e ka holimo, re ka bala m ka tsela e latelang: m 4 94 - 18 22 4 94 - 182 1 Joale re ka bala b re sebelisa foromo e ka holimo: b 22 - 1 18 4 1. Kahoo, equation ea mola oa ho lekana hantle bakeng sa sete e fanoeng ea data ke y 1x 1, kapa y x 1. 