score = (x) -> 
  if x == "Yes"
    10
  else
    0
    
redistributed_weights = (weights, values) ->
  num_of_weighted_values = weights.length  
  for value, index in values
    if value == "Not Applicable"
      num_of_weighted_values -= 1
      redistributed_weight_value = weights[index]
      for weight, i in weights
        if weight == 0
          continue
        weights[i] = weight + redistributed_weight_value/num_of_weighted_values
      weights[index] = 0
  weights
  
weights = [0.15, 0.15, 0.25, 0.15, 0.15, 0.075, 0.075]
plastic_use_and_waste = [reduction_qualitative_evidence, reduction_quantitative_evidence, reduction_targets, plastic_use_reporting, plastic_waste_reporting, reduction_evidence_upstream, reduction_evidence_downstream]
redistributed_weights(weights, plastic_use_and_waste)

weights.reduce((weighted_sum, weight, index) -> 
              weighted_sum + weight*score(plastic_use_and_waste[index])
             , 0)