Yield Fetilizer Water 201 100 1000 325 200 1000 124 300 1000 129 400 1000 344 500 1000 193 100 2000 369 200 2000 210 300 2000 306 400 2000 297 500 2000 339 100 3000 334 200 3000 273 300 3000 347 400...
































































































































































YieldFetilizerWater
2011001000
3252001000
1243001000
1294001000
3445001000
1931002000
3692002000
2103002000
3064002000
2975002000
3391003000
3342003000
2733003000
3474003000
3315003000
2211004000
3962004000
3043004000
3814004000
3165004000
2861005000
2932005000
3553005000
4414005000
3215005000
3771006000
3922006000
3613006000
4324006000
4645006000

above is the excel data. please solve the excel part with formulas and explanation, thanks


The agronomist believed that the amount of rainfall as well as the amount of fertilizer used would<br>affect the crop yield. She did the experiment in the following way. Thirty greenhouses were rented.<br>In each, the amount of fertilizer and the amount of water were varied. At the end of the growing<br>season, the amount of corn was recorded. Use a = 0.05<br>a) Determine the sample regression line and interpret the coefficients.<br>b) Do these data allow us to infer that there is a linear relationship between the amount of fertilizer<br>and the crop yield?<br>c) Do these data allow us to infer that there is a linear relationship between the amount of water and<br>the crop yield?<br>d) What can you say about the fit of the multiple regression model?<br>e) Is it reasonable to believe that the error variable is normally distributed with constant variance<br>(Support your answer)?<br>

Extracted text: The agronomist believed that the amount of rainfall as well as the amount of fertilizer used would affect the crop yield. She did the experiment in the following way. Thirty greenhouses were rented. In each, the amount of fertilizer and the amount of water were varied. At the end of the growing season, the amount of corn was recorded. Use a = 0.05 a) Determine the sample regression line and interpret the coefficients. b) Do these data allow us to infer that there is a linear relationship between the amount of fertilizer and the crop yield? c) Do these data allow us to infer that there is a linear relationship between the amount of water and the crop yield? d) What can you say about the fit of the multiple regression model? e) Is it reasonable to believe that the error variable is normally distributed with constant variance (Support your answer)?

Jun 03, 2022
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