The table below shows the sunshine hours, X, during 9 days in December and the number of ice creams sold, Y, by a beach shop in Cape Town. Sunshine hours 0.3 0.4 10.3 1.5 7 7.9 11.2 10.1 3.1 Number of ice creams sold Y 52 79 291 176 192 225 236 420 73 The hypotheses to be tested are Ho: p=0 H:p0 ata = 0.01 level of significance where p is the population correlation coefficient. Given: Descriptive statistics: The sample mean and variance of the sunshine hours: X = 5.76 and s = 19.87. The sample mean and variance of the number of ice creams sold: Y = 194 and si = 13946. The sample correlation coefficient is t = 0.832. a) Which variable displays the greatest relative variation, the sunshine hours, X, or ice cream sales, Y? The relative measures of variation are: Sunshine hours, X: Round your answer to 2 decimal places. Ice cream sales, Y: Round your answer to 2 decimal places Identify the variable with the greatest relative variation: O Ice cream sales, Y. O Sunshine hours, X. b) The estimate of the simple linear regression equation is where Y is the expected value of Y for a given value of X. Complete the values of the least-squares estimates in the simple linear regression equation. (Round off the values to 2 decimal places.) Submit part 2 marks Unanswered c) Give the percentage of variation in the number of ice creams sold (Y) due to the number of sunshine hours (X). Round your answer to the nearest integer. Submit part 1 mark Unanswered d) Calculate the value of the test statistic. Round your answer to 3 decimal places. e e) The rejection rule states that the null hypothesis is rejected if |t| > f) Which one of the following statements is correct? O Reject H, and conclude that there is no linear association. O Do not reject Ho and conclude that there is a linear association. O Do not reject Ho and conclude that there is no linear association. O Reject Ho and conclude that there is a linear association