The production engineer of a company wants to obtain a model to estimate the level of monthly sales (in thousands of soles) based on advertising spending (in thousands of soles). For this, the engineer took a random sample of 7 months and obtained the following results:

Monthly sales level 214 222 225 233 244 256 278 Advertising expenditure 12.51 15.36 17.15 19.36 20.64 21.05 23.55 If the monthly sales level and the advertising expense are linearly related, it is required:

The slope of the regression line is . Use 4 decimals. The intersection of the line with the y-axis is . Use 4 decimals. If advertising spending increases by 1 thousand soles, the monthly sales level increases, , at 5.5121 thousand soles. Use capital letters for your answer. The prediction error when advertising spending is 12.51 thousand soles is . Use 4 decimals. The average monthly sales level when advertising spending is 17.5 thousand soles is thousands of suns Use 4 decimals. The of the variability of the monthly sales level is explained by the regression equation. Use 2 decimals.