A fertilizer manufacturing company has claimed that each extra unit of its fertilizer would increase the fruit bearing c
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A fertilizer manufacturing company has claimed that each extra unit of its fertilizer would increase the fruit bearing c
company has claimed that each extra unit of its fertilizer would increase the fruit bearing capacity of an apricot tree by 4.98 apricots. Wendy, an apricot farmer, wishes to test whether this increase in fruit bearing capacity is actually 4.98 apricots or not. She selects 100 trees at random from her orchard and uses this fertilizer on those trees and estimates the following regression: Y=600+ 3.14X₁, where Y, denotes the predicted number of apricots obtained from the tree and X, denotes the number of units of fertilizer used on the tree. If and denote the intercept coefficient and the slope coefficient, respectively, which of the following options states Wendy's null and alternative hypotheses? O A. Ho: ₁4.98 and H₁:₁ #4.98. OB. Ho: g 3.14 and H₁: 3.14. OC. H: ₁24.98 and H₁:₁<4.98. OD. Ho: B₁>3.14 and H₁:₁ 3.14. Suppose the standard error of the estimated slope is 0.74. The t-statistic associated with the test Wendy wishes to conduct is (Round your answer to two decimal places. Enter a minus sign if your answer is negative.) The t-statistic suggests that at the 5% significance level, we the null hypothesis. fail to reject reject
A fertilizer manufacturing